我来装回b吧。以下代码出自这 &a href=&//link.zhihu.com/?target=https%3A//github.com/PRML/PRMLT& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&PRML/PRMLT&/a&.在老版本Matlab上，基本都比内置函数快个1~2个数量级，新版Matlab没测过了。&br&两组数据欧式距离（&a class=&internal& href=&https://www.zhihu.com/people/yan-xiao-peng&&阎小鹏&/a&上面提了）&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&D&span class=&p&&=&/span&&span class=&nf&&sqdist&/span&&span class=&p&&(&/span&X, Y&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&D&/span&&span class=&p&&=&/span&&span class=&nb&&bsxfun&/span&&span class=&p&&(@&/span&&span class=&n&&plus&/span&&span class=&p&&,&/span&&span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&'&/span&&span class=&p&&,&/span&&span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&Y&/span&&span class=&p&&,&/span&&span class=&n&&Y&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&))&/span&&span class=&o&&-&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&o&&'*&/span&&span class=&n&&Y&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&kmeans聚类算法（这是&a class=&internal& href=&https://www.zhihu.com/people/bobye&&豆豆叶&/a&上面提到的最新改进版）其实这俩都是我写的。&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[label, energy, m] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&litekmeans&/span&&span class=&p&&(&/span&X, k&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&c&&% Perform k-means clustering.&/span&
&span class=&c&&% Input:&/span&
&span class=&c&&%
X: d x n data matrix&/span&
&span class=&c&&%
init: k number of clusters or label (1 x n vector)&/span&
&span class=&c&&% Output:&/span&
&span class=&c&&%
label: 1 x n cluster label&/span&
&span class=&c&&%
energy: optimization target value&/span&
&span class=&c&&%
m: d x k center of clusters&/span&
&span class=&c&&% Written by Mo Chen ().&/span&
&span class=&n&&n&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&idx&/span& &span class=&p&&=&/span& &span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&;&/span&
&span class=&n&&last&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&label&/span& &span class=&p&&=&/span& &span class=&nb&&ceil&/span&&span class=&p&&(&/span&&span class=&n&&k&/span&&span class=&o&&*&/span&&span class=&nb&&rand&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&));&/span&
&span class=&c&&% random initialization&/span&
&span class=&k&&while&/span& &span class=&n&&any&/span&&span class=&p&&(&/span&&span class=&n&&label&/span& &span class=&o&&~=&/span& &span class=&n&&last&/span&&span class=&p&&)&/span&
&span class=&p&&[&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&n&&last&/span&&span class=&p&&(:)]&/span& &span class=&p&&=&/span& &span class=&n&&unique&/span&&span class=&p&&(&/span&&span class=&n&&label&/span&&span class=&p&&);&/span&
&span class=&c&&% remove empty clusters&/span&
&span class=&n&&E&/span& &span class=&p&&=&/span& &span class=&n&&sparse&/span&&span class=&p&&(&/span&&span class=&n&&idx&/span&&span class=&p&&,&/span&&span class=&n&&last&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% transform label into indicator matrix&/span&
&span class=&n&&m&/span& &span class=&p&&=&/span& &span class=&n&&X&/span&&span class=&o&&*&/span&&span class=&p&&(&/span&&span class=&n&&E&/span&&span class=&o&&./&/span&&span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&E&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&));&/span&
&span class=&c&&% compute centers &/span&
&span class=&p&&[&/span&&span class=&n&&val&/span&&span class=&p&&,&/span&&span class=&n&&label&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&min&/span&&span class=&p&&(&/span&&span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&m&/span&&span class=&p&&,&/span&&span class=&n&&m&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&'/&/span&&span class=&mi&&2&/span&&span class=&o&&-&/span&&span class=&n&&m&/span&&span class=&o&&'*&/span&&span class=&n&&X&/span&&span class=&p&&,[],&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span& &span class=&c&&% assign labels&/span&
&span class=&k&&end&/span&
&span class=&n&&energy&/span& &span class=&p&&=&/span& &span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&(:),&/span&&span class=&n&&X&/span&&span class=&p&&(:),&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&+&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&val&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&kernel k-means&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[label, energy, model] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&knKmeans&/span&&span class=&p&&(&/span&X, k, kn&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&n&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&K&/span& &span class=&p&&=&/span& &span class=&n&&kn&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&n&&X&/span&&span class=&p&&);&/span&
&span class=&n&&last&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&label&/span& &span class=&p&&=&/span& &span class=&nb&&ceil&/span&&span class=&p&&(&/span&&span class=&n&&k&/span&&span class=&o&&*&/span&&span class=&nb&&rand&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&));&/span&
&span class=&k&&while&/span& &span class=&n&&any&/span&&span class=&p&&(&/span&&span class=&n&&label&/span& &span class=&o&&~=&/span& &span class=&n&&last&/span&&span class=&p&&)&/span&
&span class=&p&&[&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&n&&last&/span&&span class=&p&&(:)]&/span& &span class=&p&&=&/span& &span class=&n&&unique&/span&&span class=&p&&(&/span&&span class=&n&&label&/span&&span class=&p&&);&/span&
&span class=&c&&% remove empty clusters&/span&
&span class=&n&&E&/span& &span class=&p&&=&/span& &span class=&n&&sparse&/span&&span class=&p&&(&/span&&span class=&n&&last&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&E&/span& &span class=&p&&=&/span& &span class=&n&&E&/span&&span class=&o&&./&/span&&span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&E&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&T&/span& &span class=&p&&=&/span& &span class=&n&&E&/span&&span class=&o&&*&/span&&span class=&n&&K&/span&&span class=&p&&;&/span&
&span class=&p&&[&/span&&span class=&n&&val&/span&&span class=&p&&,&/span& &span class=&n&&label&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&max&/span&&span class=&p&&(&/span&&span class=&n&&T&/span&&span class=&o&&-&/span&&span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&T&/span&&span class=&p&&,&/span&&span class=&n&&E&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&)&/span&&span class=&o&&/&/span&&span class=&mi&&2&/span&&span class=&p&&,[],&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&k&&end&/span&
&span class=&n&&energy&/span& &span class=&p&&=&/span& &span class=&n&&trace&/span&&span class=&p&&(&/span&&span class=&n&&K&/span&&span class=&p&&)&/span&&span class=&o&&-&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&val&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&kmedoids聚类&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[label, energy，index] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&kmedoids&/span&&span class=&p&&(&/span&X, init&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&X&/span& &span class=&p&&=&/span& &span class=&n&&X&/span&&span class=&o&&-&/span&&span class=&n&&mean&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&c&&% reduce chance of numerical problems&/span&
&span class=&n&&v&/span& &span class=&p&&=&/span& &span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&D&/span& &span class=&p&&=&/span& &span class=&n&&v&/span&&span class=&o&&+&/span&&span class=&n&&v&/span&&span class=&o&&'-&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&o&&'*&/span&&span class=&n&&X&/span&&span class=&p&&);&/span&
&span class=&c&&% Euclidean distance matrix&/span&
&span class=&n&&D&/span&&span class=&p&&(&/span&&span class=&nb&&sub2ind&/span&&span class=&p&&([&/span&&span class=&n&&d&/span&&span class=&p&&,&/span&&span class=&n&&d&/span&&span class=&p&&],&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&d&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&d&/span&&span class=&p&&))&/span& &span class=&p&&=&/span& &span class=&mi&&0&/span&&span class=&p&&;&/span&
&span class=&c&&% reduce chance of numerical problems&/span&
&span class=&n&&last&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&label&/span& &span class=&p&&=&/span& &span class=&nb&&ceil&/span&&span class=&p&&(&/span&&span class=&n&&k&/span&&span class=&o&&*&/span&&span class=&nb&&rand&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&));&/span&
&span class=&k&&while&/span& &span class=&n&&any&/span&&span class=&p&&(&/span&&span class=&n&&label&/span& &span class=&o&&~=&/span& &span class=&n&&last&/span&&span class=&p&&)&/span&
&span class=&p&&[&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&o&&~&/span&&span class=&p&&,&/span&&span class=&n&&last&/span&&span class=&p&&(:)]&/span& &span class=&p&&=&/span& &span class=&n&&unique&/span&&span class=&p&&(&/span&&span class=&n&&label&/span&&span class=&p&&);&/span&
&span class=&c&&% remove empty clusters&/span&
&span class=&p&&[&/span&&span class=&o&&~&/span&&span class=&p&&,&/span& &span class=&n&&index&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&min&/span&&span class=&p&&(&/span&&span class=&n&&D&/span&&span class=&o&&*&/span&&span class=&n&&sparse&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&,&/span&&span class=&n&&last&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&),[],&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% find k medoids&/span&
&span class=&p&&[&/span&&span class=&n&&val&/span&&span class=&p&&,&/span& &span class=&n&&label&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&min&/span&&span class=&p&&(&/span&&span class=&n&&D&/span&&span class=&p&&(&/span&&span class=&n&&index&/span&&span class=&p&&,:),[],&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% assign labels&/span&
&span class=&k&&end&/span&
&span class=&n&&energy&/span& &span class=&p&&=&/span& &span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&val&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&Gram-Schmidt正交化&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[Q, R] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&gson&/span&&span class=&p&&(&/span&X&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&p&&[&/span&&span class=&n&&d&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&);&/span&
&span class=&n&&m&/span& &span class=&p&&=&/span& &span class=&n&&min&/span&&span class=&p&&(&/span&&span class=&n&&d&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&R&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&n&&m&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&Q&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&n&&d&/span&&span class=&p&&,&/span&&span class=&n&&m&/span&&span class=&p&&);&/span&
&span class=&k&&for&/span& &span class=&nb&&i&/span& &span class=&p&&=&/span& &span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&m&/span&
&span class=&n&&R&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&nb&&i&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&nb&&i&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&n&&Q&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&nb&&i&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&'*&/span&&span class=&n&&X&/span&&span class=&p&&(:,&/span&&span class=&nb&&i&/span&&span class=&p&&);&/span&
&span class=&n&&v&/span& &span class=&p&&=&/span& &span class=&n&&X&/span&&span class=&p&&(:,&/span&&span class=&nb&&i&/span&&span class=&p&&)&/span&&span class=&o&&-&/span&&span class=&n&&Q&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&nb&&i&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&*&/span&&span class=&n&&R&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&nb&&i&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&nb&&i&/span&&span class=&p&&);&/span&
&span class=&n&&R&/span&&span class=&p&&(&/span&&span class=&nb&&i&/span&&span class=&p&&,&/span&&span class=&nb&&i&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&n&&norm&/span&&span class=&p&&(&/span&&span class=&n&&v&/span&&span class=&p&&);&/span&
&span class=&n&&Q&/span&&span class=&p&&(:,&/span&&span class=&nb&&i&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&n&&v&/span&&span class=&o&&/&/span&&span class=&n&&R&/span&&span class=&p&&(&/span&&span class=&nb&&i&/span&&span class=&p&&,&/span&&span class=&nb&&i&/span&&span class=&p&&);&/span&
&span class=&k&&end&/span&
&span class=&n&&R&/span&&span class=&p&&(:,&/span&&span class=&n&&m&/span&&span class=&o&&+&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&n&&Q&/span&&span class=&o&&'*&/span&&span class=&n&&X&/span&&span class=&p&&(:,&/span&&span class=&n&&m&/span&&span class=&o&&+&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&Gauss分布pdf&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&y &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&loggausspdf&/span&&span class=&p&&(&/span&X, mu, Sigma&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&d&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&X&/span& &span class=&p&&=&/span& &span class=&nb&&bsxfun&/span&&span class=&p&&(@&/span&&span class=&n&&minus&/span&&span class=&p&&,&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&n&&mu&/span&&span class=&p&&);&/span&
&span class=&p&&[&/span&&span class=&n&&U&/span&&span class=&p&&,&/span&&span class=&n&&p&/span&&span class=&p&&]=&/span& &span class=&n&&chol&/span&&span class=&p&&(&/span&&span class=&n&&Sigma&/span&&span class=&p&&);&/span&
&span class=&k&&if&/span& &span class=&n&&p&/span& &span class=&o&&~=&/span& &span class=&mi&&0&/span&
&span class=&n&&error&/span&&span class=&p&&(&/span&&span class=&s&&'ERROR: Sigma is not PD.'&/span&&span class=&p&&);&/span&
&span class=&k&&end&/span&
&span class=&n&&Q&/span& &span class=&p&&=&/span& &span class=&n&&U&/span&&span class=&o&&'\&/span&&span class=&n&&X&/span&&span class=&p&&;&/span&
&span class=&n&&q&/span& &span class=&p&&=&/span& &span class=&nb&&dot&/span&&span class=&p&&(&/span&&span class=&n&&Q&/span&&span class=&p&&,&/span&&span class=&n&&Q&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% quadratic term (M distance)&/span&
&span class=&n&&c&/span& &span class=&p&&=&/span& &span class=&n&&d&/span&&span class=&o&&*&/span&&span class=&nb&&log&/span&&span class=&p&&(&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&nb&&pi&/span&&span class=&p&&)&/span&&span class=&o&&+&/span&&span class=&mi&&2&/span&&span class=&o&&*&/span&&span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&nb&&log&/span&&span class=&p&&(&/span&&span class=&nb&&diag&/span&&span class=&p&&(&/span&&span class=&n&&U&/span&&span class=&p&&)));&/span&
&span class=&c&&% normalization constant&/span&
&span class=&n&&y&/span& &span class=&p&&=&/span& &span class=&o&&-&/span&&span class=&p&&(&/span&&span class=&n&&c&/span&&span class=&o&&+&/span&&span class=&n&&q&/span&&span class=&p&&)&/span&&span class=&o&&/&/span&&span class=&mi&&2&/span&&span class=&p&&;&/span&
&/code&&/pre&&/div&&br&Naive Bayes分类&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[u, w] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&nbBern&/span&&span class=&p&&(&/span&X, t&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&n&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&X&/span&&span class=&p&&,&/span&&span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&E&/span& &span class=&p&&=&/span& &span class=&n&&sparse&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&&span class=&p&&,&/span&&span class=&n&&t&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&nk&/span& &span class=&p&&=&/span& &span class=&n&&sum&/span&&span class=&p&&(&/span&&span class=&n&&E&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&w&/span& &span class=&p&&=&/span& &span class=&n&&full&/span&&span class=&p&&(&/span&&span class=&n&&nk&/span&&span class=&o&&/&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&mu&/span& &span class=&p&&=&/span& &span class=&n&&X&/span&&span class=&o&&*&/span&&span class=&p&&(&/span&&span class=&n&&E&/span&&span class=&o&&./&/span&&span class=&n&&nk&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&&br&Viterbi滤波&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[z, llh] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&hmmViterbi&/span&&span class=&p&&(&/span&x, A, E, s&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&n&&k&/span& &span class=&p&&=&/span& &span class=&nb&&numel&/span&&span class=&p&&(&/span&&span class=&n&&s&/span&&span class=&p&&);&/span&
&span class=&n&&Z&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&n&&k&/span&&span class=&p&&,&/span&&span class=&n&&n&/span&&span class=&p&&);&/span&
&span class=&n&&Z&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&k&/span&&span class=&p&&;&/span&
&span class=&n&&v&/span& &span class=&p&&=&/span& &span class=&n&&s&/span&&span class=&p&&(:)&/span&&span class=&o&&+&/span&&span class=&n&&M&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&k&&for&/span& &span class=&n&&t&/span& &span class=&p&&=&/span& &span class=&mi&&2&/span&&span class=&p&&:&/span&&span class=&n&&n&/span&
&span class=&p&&[&/span&&span class=&n&&v&/span&&span class=&p&&,&/span&&span class=&n&&idx&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&max&/span&&span class=&p&&(&/span&&span class=&nb&&bsxfun&/span&&span class=&p&&(@&/span&&span class=&n&&plus&/span&&span class=&p&&,&/span&&span class=&n&&A&/span&&span class=&p&&,&/span&&span class=&n&&v&/span&&span class=&p&&),[],&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% 13.68&/span&
&span class=&n&&v&/span& &span class=&p&&=&/span& &span class=&n&&v&/span&&span class=&p&&(:)&/span&&span class=&o&&+&/span&&span class=&n&&M&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&p&&);&/span&
&span class=&n&&Z&/span& &span class=&p&&=&/span& &span class=&n&&Z&/span&&span class=&p&&(&/span&&span class=&n&&idx&/span&&span class=&p&&,:);&/span&
&span class=&n&&Z&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&k&/span&&span class=&p&&;&/span&
&span class=&k&&end&/span&
&span class=&p&&[&/span&&span class=&n&&llh&/span&&span class=&p&&,&/span&&span class=&n&&idx&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&n&&max&/span&&span class=&p&&(&/span&&span class=&n&&v&/span&&span class=&p&&);&/span&
&span class=&n&&z&/span& &span class=&p&&=&/span& &span class=&n&&Z&/span&&span class=&p&&(&/span&&span class=&n&&idx&/span&&span class=&p&&,:);&/span&
&/code&&/pre&&/div&&br&HMM forward-backward&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&[gamma, alpha, beta, c] &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&hmmSmoother&/span&&span class=&p&&(&/span&M, A, s&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&p&&[&/span&&span class=&n&&K&/span&&span class=&p&&,&/span&&span class=&n&&T&/span&&span class=&p&&]&/span& &span class=&p&&=&/span& &span class=&nb&&size&/span&&span class=&p&&(&/span&&span class=&n&&M&/span&&span class=&p&&);&/span&
&span class=&n&&At&/span& &span class=&p&&=&/span& &span class=&n&&A&/span&&span class=&o&&'&/span&&span class=&p&&;&/span&
&span class=&n&&c&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span&&span class=&n&&T&/span&&span class=&p&&);&/span&
&span class=&n&&alpha&/span& &span class=&p&&=&/span& &span class=&nb&&zeros&/span&&span class=&p&&(&/span&&span class=&n&&K&/span&&span class=&p&&,&/span&&span class=&n&&T&/span&&span class=&p&&);&/span&
&span class=&p&&[&/span&&span class=&n&&alpha&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&),&/span&&span class=&n&&c&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&)]&/span& &span class=&p&&=&/span& &span class=&n&&normalize&/span&&span class=&p&&(&/span&&span class=&n&&s&/span&&span class=&o&&.*&/span&&span class=&n&&M&/span&&span class=&p&&(:,&/span&&span class=&mi&&1&/span&&span class=&p&&),&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&k&&for&/span& &span class=&n&&t&/span& &span class=&p&&=&/span& &span class=&mi&&2&/span&&span class=&p&&:&/span&&span class=&n&&T&/span&
&span class=&p&&[&/span&&span class=&n&&alpha&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&p&&),&/span&&span class=&n&&c&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&p&&)]&/span& &span class=&p&&=&/span& &span class=&n&&normalize&/span&&span class=&p&&((&/span&&span class=&n&&At&/span&&span class=&o&&*&/span&&span class=&n&&alpha&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&))&/span&&span class=&o&&.*&/span&&span class=&n&&M&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&p&&),&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% 13.59&/span&
&span class=&k&&end&/span&
&span class=&nb&&beta&/span& &span class=&p&&=&/span& &span class=&nb&&ones&/span&&span class=&p&&(&/span&&span class=&n&&K&/span&&span class=&p&&,&/span&&span class=&n&&T&/span&&span class=&p&&);&/span&
&span class=&k&&for&/span& &span class=&n&&t&/span& &span class=&p&&=&/span& &span class=&n&&T&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&o&&-&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&mi&&1&/span&
&span class=&nb&&beta&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&p&&)&/span& &span class=&p&&=&/span& &span class=&n&&A&/span&&span class=&o&&*&/span&&span class=&p&&(&/span&&span class=&nb&&beta&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&o&&+&/span&&span class=&mi&&1&/span&&span class=&p&&)&/span&&span class=&o&&.*&/span&&span class=&n&&M&/span&&span class=&p&&(:,&/span&&span class=&n&&t&/span&&span class=&o&&+&/span&&span class=&mi&&1&/span&&span class=&p&&))&/span&&span class=&o&&/&/span&&span class=&n&&c&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&o&&+&/span&&span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&c&&% 13.62&/span&
&span class=&k&&end&/span&
&span class=&nb&&gamma&/span& &span class=&p&&=&/span& &span class=&n&&alpha&/span&&span class=&o&&.*&/span&&span class=&nb&&beta&/span&&span class=&p&&;&/span&
&span class=&c&&% 13.64&/span&
&/code&&/pre&&/div&&br&还有很多不都列了。
我来装回b吧。以下代码出自这 .在老版本Matlab上，基本都比内置函数快个1~2个数量级，新版Matlab没测过了。 两组数据欧式距离（上面提了） function D=sqdist(X, Y)
D=bsxfun(@plus,dot(X,X,1)',dot(Y,Y,1))-2*(X'*Y); kmeans聚类算法（这是
&figure&&img src=&https://pic2.zhimg.com/v2-f377abfa_b.jpg& data-rawwidth=&643& data-rawheight=&333& class=&origin_image zh-lightbox-thumb& width=&643& data-original=&https://pic2.zhimg.com/v2-f377abfa_r.jpg&&&/figure&&p&MATLAB常用基本数据类型有：整型，浮点型，字符型，函数句柄，元胞数组和结构体数组。除了这些基本数据类型，MATLAB还有很多其它的数据类型不为人熟悉，这些数据类型在编程中也非常有用。MATLAB高级数据类型系列旨在向大家介绍它们：比如containers.Map， tables，enumeration和time series等等，它们为什么有用，用来解决什么问题，并且怎样在科学工程计算中怎么使用。上篇我们提到了映射表结构（containers.Map ）。本篇将介绍另一中新的MATLAB数据类型--table。&/p&&h2&table简介&/h2&&h2&为什么需要table数据结构&/h2&&p&MathWorks在MATLAB R2013b中引入了一种新的数据结构叫做table 。table类似统计 工具箱中的dataset ，其引入的目的就是用来取代dataset的数据类型。因为表状的数据在工程计算中越来越长久，有了table 类型，MATLAB用户就可以不用购买统计工具箱，也能使用表状的数据结构了。 table本质上来说是一种可以存放各种数据类型的容器，比如下面表Table.1中的数据，其中既有字符型，又有数值类型，其中第一行作为表头：Symbol，Name，Market，Cap，IPO， Year是各列的名字。&/p&&p&Table.1 NASDAQ股票名称表 &/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&Symbol
Amazon.com, Inc
Microsoft Corporation
&/code&&/pre&&/div&&p&在conatiners.Map的章节中，我们介绍了MATLAB的基本数据类型（比如数组，原胞数组和结构体）在表达某些复杂数据类型时的局限性。这里不再一一赘述，读者只需要认识到：数组的局限性在于不能用来存放数值以外的数据，而使用元胞读取和索引内容时有种种不方便，比如无法区分该数据中的表头和其余的行数据。事实上，如果数据存放在如下的CSV文件中,并且用importdata 直接读取表Table.2中的CSV文件。&/p&&p&Table 2 Nasdaq的CSV&/p&&p&&br&&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&&Symbol&,&Name&,&Market Cap&,&IPO Year&
&AAPL&,&Apple Inc&,&$742.63B&,1980
&AMZN&,&Amazon.com Inc&,&$173.33B&,1997
&MSFT&,&Microsoft Corporation&,&$346.9B&,1986
&/code&&/pre&&/div&&p&% 用importdata直接读入CSV文件读入之后数据将会被分成数值和非数值部分：&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&&& nasdaq = importdata('nasdaq.csv')
% 结果存在struct中
data: [3x1 double]
textdata: {4x4 cell}
&& nasdaq.data
% csv中的数值部分
&& nasdaq.textdata
% csv中的字符部分
'&Symbol&'
'&Market Cap&'
'&IPO Year&'
'Apple Inc'
'$742.63B'
'Amazon.com Inc'
'$173.33B'
'Microsoft Corporation'
&/code&&/pre&&/div&&p&显然这不是我们所期待的要导入格式。&/p&&h2&通过导入数据构造table对象&/h2&&p&沿用表Table.2中nasdaq.csv文件，我们可以使用readtable 函数，构造一个新的table对象，把csv文件中的数据导入到该对象中。readtable函数接受文件名称作为输入，返回一个table对象。&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 通过readtable函数来构造table对象
&& nasdaq = readtable('nasdaq.csv')
Warning: Variable names were modified to make them valid MATLAB identifiers.
_______________________
__________
'Apple Inc'
'$742.63B'
'Amazon.com Inc'
'$173.33B'
'Microsoft Corporation'
&/code&&/pre&&/div&&p&注意第2行的warning,因为readtable 函数把nasdaq.csv中的第一行自动变成了这个table的表头，在创建table对象的时候，MATLAB会对做表头的文字做处理，这里把Market Cap和IPO Year两个词中的空格去掉，缩成一个词，这样做是为了方便将来使用dot语法来访问表中的数据。因为MATLAB修改了原来的表头，所以这里给出了warning。&/p&&h2&调用table构造函数来构造table对象&/h2&&p&我们还可以通过直接调用table类的构造函数来创建table对象 (什么是类的构造函数见参加&b&&&&/b&matlab面向对象编程-从入门到设计模式&b&&&&/b& 第2.5节，构造函数和类的名称相同)。在containers.Map 的介绍中，我们举了电话号码簿的例子，如表Table.3所示，它是我们这节要构造的table对象的原始数据&/p&&p&Table.3 电话号码簿 姓名电话号码AbbyBobCharlie&/p&&p&下面程序中第1，2行用元胞数组来表示表中每一列的数据，第3行规定了表头的名称，第4行调用table的构造函数创建table对象，先输入数据，再输入表头的名称。表头通过table对象的VariableNames属性来设置。&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&name={'Abby';'Bob';'Charlie'};
% 3x1列向量
number={'';'';''};
% 3x1列向量
colName={'Name','Number'};
phonetable=table(name,number,'VariableNames',colName)
&/code&&/pre&&/div&&p&命令行显示如下&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% phonetable在命令行中disp的结果
phonetable =
____________
&/code&&/pre&&/div&&p&第4行把Name和Number做为table对象的VariableNames，可以这样理解VariableNames，我们可以把table看成由一个个列数据组成的数据结构，每列都是矢量，其中存放相同类型的数据。如果一个table有两列，它就有两个列矢量，每个列矢量都是table的一个变量（Variable），给变量名字就是Variable Name。&/p&&h2&通过转换函数构造table对象&/h2&&p&除了使用table的构造函数来创建table对象，还可以使用转换函数把其它数据类型转成table，下列通过数组数据类型类构造table。下面的程序的1-2行，我们利用financial工具箱中的fetch函数，从Yahoo财经处得到雅虎从3月1日到3月10日的股票价格，fetch函数将返回一个数组，第3行我们利用array2table转换函数把得到数组转成table。&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 通过array2table创建table对象
array = fetch(conn,'YHOO','3/1/2015','3/10/2015');
yhoo = array2table(array,...
'VariableNames', {'date','open','high','low','closing','volumn','adjusted'})
&/code&&/pre&&/div&&p&第4行中，我们通过VariableName来指定表头的内容,结果显示如下&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% yhoo的table在命令行的显示
__________
__________
7.3603e+05
1.0601e+07
7.3603e+05
1.1802e+07
7.3603e+05
1.1888e+07
7.3603e+05
1.1868e+07
7.3603e+05
3.0099e+07
7.3603e+05
2.2392e+07
7.3603e+05
1.1027e+07
&/code&&/pre&&/div&&h2&访问table中的数据&/h2&&p&通过表Table.1所建立的table对象，在命令行中显示如下：&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% nasdaq table在命令行中的显示
_______________________
__________
'Apple Inc'
'$742.63B'
'Amazon.com Inc'
'$173.33B'
'Microsoft Corporation'
&/code&&/pre&&/div&&p&我们可以通过使用dot+Variablename的语法直接访问table中的列，返回的结果是cell格式的数据：&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 使用dot语法访问table中的数据
&& nasdaq.Symbol
% dot格式+变量名的访问方式
&& class(nasdaq)
% 返回cell格式的数据
&/code&&/pre&&/div&&p&table类重载了subsref函数(什么是运算符的重载，参加《MATLAB面向对象编程-从入门到设计模式》12.1节)，于是支持MATLAB传统的圆括号下标访问，如果要访问第一行，则：&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 使用下标语法访问table中的数据
&& nasdaq(1,:)
___________
__________
'Apple Inc'
'$742.63B'
&/code&&/pre&&/div&&p&使用圆括号，返回的结果仍然是table,如果要访问第2到3行，则：&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 使用下标语法访问table中的数据
&& nasdaq(2:3,:)
_______________________
__________
'Amazon.com Inc'
'$173.33B'
'Microsoft Corporation'
&/code&&/pre&&/div&&p&返回的结果仍然是table。&/p&&p&table数据结构支持MATLAB传统的花括号下标访问，返回的结果是cell格式的数据&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% 花括号下标访问
&& nasdaq{:,1}
% 花括号下标访问，返回第一列中的数据
&/code&&/pre&&/div&&p&还可以把Dot语法和下标语法结合起来获取数据，下例代码访问table第一列的第三行，返回的结果是元胞。&/p&&div class=&highlight&&&pre&&code class=&language-text&&&span&&/span&% Dot语法和圆括号下标访问结合
&& nasdaq.Symbol(3)
&& class(ans)
% 圆括号下标访问，返回结果是元胞
&/code&&/pre&&/div&&p&图Figure.1中以表Table.1中的数据为例，总结了几种访问table中不同区域的数据的方法。&/p&&p&Figure.1 访问table中的数据&/p&&figure&&img src=&https://pic3.zhimg.com/v2-a2d5cfdf48bc1f3036d96_b.jpg& data-caption=&& data-size=&normal& data-rawwidth=&960& data-rawheight=&720& class=&origin_image zh-lightbox-thumb& width=&960& data-original=&https://pic3.zhimg.com/v2-a2d5cfdf48bc1f3036d96_r.jpg&&&/figure&&p&作者简介：&/p&&p&MathWorks开发部MATLAB架构C++高级软件工程师。计算物理学博士，研究方向为电子结构计算、密度泛函算法开发；计算机硕士，研究方向为图像处理。2004年，开始使用MATLAB，在科研编程中遇到了开发大型程序难以维护的困难，花了很多时间用于改进程序但效果总不尽如人意。2009年，开始使用MATLAB面向对象编程，发现工程进度被迅速加快，于是萌生了写一本介绍MATLAB 面向对象编程书的念头。2011年，在美国取得博士学位之后入职MathWorks，从理科科研工作者和多年的MATLAB爱好者，成为一名MATLAB语言的设计开发和实现的软件工程师。2016年，作者在MATLAB中文论坛开辟了技术专栏，和大家分享最新的行业应用技术和MATLAB编程理念，旨在推动软件工程中的现代手段在MATLAB科学工程计算项目中的使用，帮助科学家和工程师们更有效地解决复杂的科研问题。《MATLAB面向对象编程:从入门到设计模式(第二版)》 凝结了作者多年的科研和工作经验以及对MATLAB语言的理解，希望能对各种规模的科学工程计算项目的MATLAB使用者有所启发。&/p&&figure&&img src=&https://pic3.zhimg.com/v2-04e233a56140edae7bbc2_b.jpg& data-caption=&& data-size=&normal& data-rawwidth=&350& data-rawheight=&350& class=&content_image& width=&350&&&/figure&&p&&/p&
MATLAB常用基本数据类型有：整型，浮点型，字符型，函数句柄，元胞数组和结构体数组。除了这些基本数据类型，MATLAB还有很多其它的数据类型不为人熟悉，这些数据类型在编程中也非常有用。MATLAB高级数据类型系列旨在向大家介绍它们：比如containers.Map， t…
可以利用运算符重载实现某些操作。例如类似于 C 语言的条件运算符：&br&在路径中创建一个 @cell 文件夹 (mkdir @cell)，之后在该文件夹中定义函数：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&k&&function&/span&&span class=&w&& &/span&varargout &span class=&p&&=&/span&&span class=&w&& &/span&&span class=&nf&&colon&/span&&span class=&p&&(&/span&test, trueValue, falseValue&span class=&p&&)&/span&&span class=&w&&&/span&
&span class=&w&&
&/span&&span class=&k&&if&/span& &span class=&n&&test&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span&&span class=&p&&}()&/span& &span class=&o&&&&&/span& &span class=&mi&&1&/span&
&span class=&p&&[&/span&&span class=&n&&varargout&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&nargout&/span&&span class=&p&&}]&/span& &span class=&p&&=&/span& &span class=&n&&trueValue&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span&&span class=&p&&}();&/span&
&span class=&k&&else&/span&
&span class=&p&&[&/span&&span class=&n&&varargout&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&n&&nargout&/span&&span class=&p&&}]&/span& &span class=&p&&=&/span& &span class=&n&&falseValue&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span&&span class=&p&&}();&/span&
&span class=&k&&end&/span&
&/code&&/pre&&/div&之后可以：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&o&&&&&/span& &span class=&n&&result&/span& &span class=&p&&=&/span& &span class=&p&&{&/span&&span class=&nb&&rand&/span& &span class=&o&&&&/span& &span class=&p&&.&/span&&span class=&mi&&5&/span&&span class=&p&&}&/span& &span class=&p&&:&/span& &span class=&p&&{&/span&&span class=&s&&'win'&/span&&span class=&p&&}&/span& &span class=&p&&:&/span& &span class=&p&&{&/span&&span class=&s&&'lose'&/span&&span class=&p&&};&/span&
&span class=&o&&&&&/span& &span class=&p&&{&/span&&span class=&nb&&rand&/span& &span class=&o&&&&/span& &span class=&p&&.&/span&&span class=&mi&&5&/span&&span class=&p&&}&/span& &span class=&p&&:&/span& &span class=&p&&{@()&/span&&span class=&n&&pause&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&)}&/span& &span class=&p&&:&/span& &span class=&p&&{@()&/span&&span class=&n&&pause&/span&&span class=&p&&(&/span&&span class=&mi&&3&/span&&span class=&p&&)}&/span&
&/code&&/pre&&/div&
可以利用运算符重载实现某些操作。例如类似于 C 语言的条件运算符： 在路径中创建一个 @cell 文件夹 (mkdir @cell)，之后在该文件夹中定义函数： function varargout = colon(test, trueValue, falseValue)
if test{1}() && 1
[varargout{1:nargout}] = t…
看到高票回答很受启发！听说 R2016b 已经支持在 script 里定义 function 但是敝厂还在小范围兼容性测试阶段所以呢本喵暂时还没用上，所以呢下面要说的东西还是有一些参考价值的吧。&br&&br&有同学在问题&a href=&https://www.zhihu.com/question/& class=&internal&&你什么时候对MATLAB感到绝望？ - 数学&/a&下回答道「我要给每一个函数新建一个文件的时候。 」想必各位跟我一样深感赞同吧。哪怕写一点稍微能用的东西，都是以目录为单位来组织的，有时候少拷一个文件就跑不起来，传送程序也是发压缩包，相当的麻烦。于是我就慢慢积累了一些绕过这个限制的办法：&br&&br&运行一段代码。在作图的时候，经常要对每一个 figure 或者 subplot 执行同样的一系列操作，会出现很多重复的代码，比如&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&subplot&/span&&span class=&p&&(&/span&&span class=&mi&&3&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&plot&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&p&&,&/span& &span class=&n&&x&/span&&span class=&p&&);&/span&
&span class=&n&&grid&/span&&span class=&p&&(&/span&&span class=&s&&'on'&/span&&span class=&p&&);&/span&
&span class=&n&&xlabel&/span&&span class=&p&&(&/span&&span class=&s&&'t'&/span&&span class=&p&&);&/span&
&span class=&n&&xlim&/span&&span class=&p&&([&/span&&span class=&n&&tmin&/span&&span class=&p&&,&/span& &span class=&n&&tmax&/span&&span class=&p&&]);&/span&
&span class=&n&&subplot&/span&&span class=&p&&(&/span&&span class=&mi&&3&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&plot&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&p&&,&/span& &span class=&n&&y&/span&&span class=&p&&);&/span&
&span class=&n&&grid&/span&&span class=&p&&(&/span&&span class=&s&&'on'&/span&&span class=&p&&);&/span&
&span class=&c&&% 1&/span&
&span class=&n&&xlabel&/span&&span class=&p&&(&/span&&span class=&s&&'t'&/span&&span class=&p&&);&/span&
&span class=&c&&% 2&/span&
&span class=&n&&xlim&/span&&span class=&p&&([&/span&&span class=&n&&tmin&/span&&span class=&p&&,&/span& &span class=&n&&tmax&/span&&span class=&p&&]);&/span&
&span class=&c&&% 3 - 这 3 行毫无意义的重复啊&/span&
&span class=&c&&% 后面可能还有&/span&
&/code&&/pre&&/div&解决方法很简单，将重复操作定义成 cell array&br&&div class=&highlight&&&pre&&code class=&language-text&&setfigures = { ...
@() grid('on'); ...
@() xlabel('t'); ...
@() xlim([tmin, tmax]); ...
&/code&&/pre&&/div&然后&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&subplot&/span&&span class=&p&&(&/span&&span class=&mi&&3&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&);&/span&
&span class=&n&&plot&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&p&&,&/span& &span class=&n&&x&/span&&span class=&p&&);&/span&
&span class=&n&&cellfun&/span&&span class=&p&&(@(&/span&&span class=&n&&f&/span&&span class=&p&&)&/span& &span class=&n&&f&/span&&span class=&p&&(),&/span& &span class=&n&&setfigures&/span&&span class=&p&&);&/span&
&span class=&n&&subplot&/span&&span class=&p&&(&/span&&span class=&mi&&3&/span&&span class=&p&&,&/span& &span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&mi&&2&/span&&span class=&p&&);&/span&
&span class=&n&&plot&/span&&span class=&p&&(&/span&&span class=&n&&t&/span&&span class=&p&&,&/span& &span class=&n&&y&/span&&span class=&p&&);&/span&
&span class=&n&&cellfun&/span&&span class=&p&&(@(&/span&&span class=&n&&f&/span&&span class=&p&&)&/span& &span class=&n&&f&/span&&span class=&p&&(),&/span& &span class=&n&&setfigures&/span&&span class=&p&&);&/span&
&/code&&/pre&&/div&是不是看起来清爽很多？&br&&br&「那么老师，一定要完全重复的代码才能用吗？带参数的怎么办呢？」很简单，比如我们要给图上添加不同名称的 ylabel 和 title：&br&&div class=&highlight&&&pre&&code class=&language-text&&setfigures = { ...
@(varargin) grid('on'); ...
@(varargin) xlim([tmin, tmax]); ...
@(varargin) xlabel('t'); ...
@(varargin) ylabel(varargin{1}); ...
@(varargin) title(varargin{2}); ...
subplot(3, 1, 1);
plot(t, x);
cellfun(@(f) f('x', 'x = sin(t)'), setfigures);
subplot(3, 1, 2);
plot(t, y);
cellfun(@(f) f('y', 'y = cos(t)'), setfigures);
&/code&&/pre&&/div&&br&这个算「子程序」吗？还不用 function 定义，可以随意用在 script 中，真开心啊。而且看起来有点眼熟不是，像是 arrayfun/cellfun 倒过来，或者是 Python 的 map 倒过来对吗？将一组数据一一送进一个函数里，得到各自结果再组合起来是 arrayfun 和 cellfun 的基本用法，而这里我们可以把同一组数据送到一个函数列表中，试观察&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&x&/span& &span class=&p&&=&/span& &span class=&nb&&linspace&/span&&span class=&p&&(&/span&&span class=&mi&&0&/span&&span class=&p&&,&/span& &span class=&mi&&2&/span& &span class=&o&&*&/span& &span class=&nb&&pi&/span&&span class=&p&&,&/span& &span class=&mi&&20&/span&&span class=&p&&);&/span&
&span class=&n&&arrayfun&/span&&span class=&p&&(@&/span&&span class=&nb&&sin&/span&&span class=&p&&,&/span& &span class=&n&&x&/span&&span class=&p&&);&/span&
&span class=&c&&% 20 个数字送到 sin 函数里&/span&
&span class=&n&&cellfun&/span&&span class=&p&&(@&/span&&span class=&nb&&sin&/span&&span class=&p&&,&/span& &span class=&n&&num2cell&/span&&span class=&p&&(&/span&&span class=&n&&x&/span&&span class=&p&&));&/span&
&span class=&c&&% 跟上面一样&/span&
&span class=&n&&cellfun&/span&&span class=&p&&(@(&/span&&span class=&n&&f&/span&&span class=&p&&)&/span& &span class=&n&&f&/span&&span class=&p&&(&/span&&span class=&n&&x&/span&&span class=&p&&),&/span& &span class=&p&&{@&/span&&span class=&nb&&sin&/span&&span class=&p&&,&/span& &span class=&p&&@&/span&&span class=&nb&&cos&/span&&span class=&p&&},&/span& &span class=&s&&'UniformOutput'&/span&&span class=&p&&,&/span& &span class=&n&&false&/span&&span class=&p&&);&/span&
&span class=&c&&% 同样的 x 送到 sin 和 cos 两个函数里&/span&
&/code&&/pre&&/div&&br&那么以 Python 来对比，既然有了 map，filter 还会远吗？其实 MATLAB 的 filter 特别简单，对比 Python 3&br&&div class=&highlight&&&pre&&code class=&language-python3&&&span class=&kn&&import&/span& &span class=&nn&&numpy&/span& &span class=&k&&as&/span& &span class=&nn&&np&/span&
&span class=&n&&a&/span& &span class=&o&&=&/span& &span class=&n&&np&/span&&span class=&o&&.&/span&&span class=&n&&random&/span&&span class=&o&&.&/span&&span class=&n&&randn&/span&&span class=&p&&(&/span&&span class=&mi&&10&/span&&span class=&p&&)&/span&
&span class=&n&&b&/span& &span class=&o&&=&/span& &span class=&nb&&list&/span&&span class=&p&&(&/span&&span class=&nb&&filter&/span&&span class=&p&&(&/span&&span class=&k&&lambda&/span& &span class=&n&&x&/span&&span class=&p&&:&/span& &span class=&n&&x&/span& &span class=&o&&&&/span& &span class=&mi&&0&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&))&/span&
&span class=&o&&%&/span& &span class=&nb&&filter&/span& &span class=&n&&函数&/span&
&span class=&n&&c&/span& &span class=&o&&=&/span& &span class=&p&&[&/span&&span class=&n&&x&/span& &span class=&k&&for&/span& &span class=&n&&x&/span& &span class=&ow&&in&/span& &span class=&n&&a&/span& &span class=&k&&if&/span& &span class=&n&&x&/span& &span class=&o&&&&/span& &span class=&mi&&0&/span&&span class=&p&&]&/span&
&span class=&o&&%&/span& &span class=&n&&列表推导&/span&
&/code&&/pre&&/div&MATLAB&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&nb&&randn&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&mi&&10&/span&&span class=&p&&);&/span&
&span class=&n&&b&/span& &span class=&p&&=&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&n&&a&/span& &span class=&o&&&&/span& &span class=&mi&&0&/span&&span class=&p&&);&/span&
&span class=&c&&% 用 logical indexing 更加直观&/span&
&/code&&/pre&&/div&&br&那么 reduce 怎么办呢？我们知道 reduce （或者叫 fold）本质上是递归，而递归需要条件判断，但是 MATLAB 不提供类似 C 语言中的&br&&div class=&highlight&&&pre&&code class=&language-text&&a = condition ? b :
&/code&&/pre&&/div&或 Python 中的&br&&div class=&highlight&&&pre&&code class=&language-python3&&&span class=&n&&a&/span& &span class=&o&&=&/span& &span class=&n&&b&/span& &span class=&k&&if&/span& &span class=&n&&condition&/span& &span class=&k&&else&/span& &span class=&n&&c&/span&
&/code&&/pre&&/div&这种条件运算符，但是没关系，我们可以造个轮子&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&iif&/span& &span class=&p&&=&/span& &span class=&p&&@(&/span&&span class=&n&&varargin&/span&&span class=&p&&)&/span& &span class=&n&&varargin&/span&&span class=&p&&{&/span&&span class=&mi&&2&/span& &span class=&o&&*&/span& &span class=&nb&&find&/span&&span class=&p&&([&/span&&span class=&n&&varargin&/span&&span class=&p&&{&/span&&span class=&mi&&1&/span& &span class=&p&&:&/span& &span class=&mi&&2&/span& &span class=&p&&:&/span& &span class=&k&&end&/span&&span class=&p&&}],&/span& &span class=&mi&&1&/span&&span class=&p&&,&/span& &span class=&s&&'first'&/span&&span class=&p&&)}();&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&iif&/span&&span class=&p&&(&/span&&span class=&n&&condition&/span&&span class=&p&&,&/span& &span class=&n&&b&/span&&span class=&p&&,&/span& &span class=&n&&true&/span&&span class=&p&&,&/span& &span class=&n&&c&/span&&span class=&p&&);&/span&
&span class=&c&&% 这样就跟 C 和 Python 的等效了&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&iif&/span&&span class=&p&&(&/span&&span class=&n&&condition1&/span&&span class=&p&&,&/span& &span class=&n&&b&/span&&span class=&p&&,&/span& &span class=&n&&condition2&/span&&span class=&p&&,&/span& &span class=&n&&c&/span&&span class=&p&&,&/span& &span class=&n&&condition3&/span&&span class=&p&&,&/span& &span class=&n&&d&/span&&span class=&p&&,&/span& &span class=&n&&true&/span&&span class=&p&&,&/span& &span class=&n&&e&/span&&span class=&p&&);&/span&
&span class=&c&&% 还能扩展，相当于以下语句：&/span&
&span class=&k&&if&/span& &span class=&n&&condition1&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&b&/span&&span class=&p&&;&/span&
&span class=&k&&elseif&/span& &span class=&n&&condition2&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&c&/span&&span class=&p&&;&/span&
&span class=&k&&elseif&/span& &span class=&n&&condition3&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&d&/span&&span class=&p&&;&/span&
&span class=&k&&else&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&e&/span&&span class=&p&&;&/span&
&span class=&k&&end&/span&
&/code&&/pre&&/div&原理很简单，iif 的参数列表中，奇数下标的是条件，偶数下标是条件对应的结果，取第一个真值条件对应的结果（可以是函数），最后一个「条件-结果」对的条件恒为 true，表示 by default 最后一个结果，这样不仅可以充当三目运算符，而且可以当成写在一行里的 if/elseif/else/end 或者 switch/case/otherwise/end。&br&&br&用这个造好的轮子，我们来搞个大新闻。但是如果你这样想的话：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&reduce&/span& &span class=&p&&=&/span& &span class=&p&&@(&/span&&span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&)&/span& &span class=&c&&...&/span&
&span class=&n&&iif&/span&&span class=&p&&(&/span&&span class=&nb&&numel&/span&&span class=&p&&(&/span&&span class=&n&&a&/span&&span class=&p&&)&/span& &span class=&o&&==&/span& &span class=&mi&&2&/span&&span class=&p&&,&/span& &span class=&p&&@()&/span& &span class=&n&&f&/span&&span class=&p&&(&/span&&span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&),&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&2&/span&&span class=&p&&)),&/span& &span class=&c&&...&/span&
&span class=&n&&true&/span&&span class=&p&&,&/span& &span class=&p&&@()&/span& &span class=&n&&f&/span&&span class=&p&&(&/span&&span class=&n&&reduce&/span&&span class=&p&&(&/span&&span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span& &span class=&p&&:&/span& &span class=&k&&end&/span& &span class=&o&&-&/span& &span class=&mi&&1&/span&&span class=&p&&)),&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&k&&end&/span&&span class=&p&&)));&/span&
&/code&&/pre&&/div&那就 sometimes naive 了：出现在 iif 里的 reduce 是什么鬼？所以我们至少需要这样&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&reduce_&/span& &span class=&p&&=&/span& &span class=&p&&@(&/span&&span class=&n&&r&/span&&span class=&p&&,&/span& &span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&)&/span& &span class=&c&&...&/span&
&span class=&n&&iif&/span&&span class=&p&&(&/span&&span class=&nb&&numel&/span&&span class=&p&&(&/span&&span class=&n&&a&/span&&span class=&p&&)&/span& &span class=&o&&==&/span& &span class=&mi&&2&/span&&span class=&p&&,&/span& &span class=&p&&@()&/span& &span class=&n&&f&/span&&span class=&p&&(&/span&&span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&),&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&2&/span&&span class=&p&&)),&/span& &span class=&c&&...&/span&
&span class=&n&&true&/span&&span class=&p&&,&/span& &span class=&p&&@()&/span& &span class=&n&&f&/span&&span class=&p&&(&/span&&span class=&n&&r&/span&&span class=&p&&(&/span&&span class=&n&&r&/span&&span class=&p&&,&/span& &span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span& &span class=&p&&:&/span& &span class=&k&&end&/span& &span class=&o&&-&/span& &span class=&mi&&1&/span&&span class=&p&&)),&/span& &span class=&n&&a&/span&&span class=&p&&(&/span&&span class=&k&&end&/span&&span class=&p&&)));&/span&
&span class=&n&&reduce&/span& &span class=&p&&=&/span& &span class=&p&&@(&/span&&span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&)&/span& &span class=&n&&reduce_&/span&&span class=&p&&(&/span&&span class=&n&&reduce_&/span&&span class=&p&&,&/span& &span class=&n&&f&/span&&span class=&p&&,&/span& &span class=&n&&a&/span&&span class=&p&&);&/span&
&span class=&n&&m&/span& &span class=&p&&=&/span& &span class=&n&&reduce&/span&&span class=&p&&(@&/span&&span class=&n&&times&/span&&span class=&p&&,&/span& &span class=&p&&[&/span&&span class=&mi&&2&/span&&span class=&p&&,&/span& &span class=&mi&&4&/span&&span class=&p&&,&/span& &span class=&mi&&6&/span&&span class=&p&&]);&/span&
&span class=&c&&% --& 48&/span&
&/code&&/pre&&/div&不过请不要用这个逗比函数跑什么重型计算，因为 MATLAB 的递归速度……&br&&br&（搬砖去了未完待续
看到高票回答很受启发！听说 R2016b 已经支持在 script 里定义 function 但是敝厂还在小范围兼容性测试阶段所以呢本喵暂时还没用上，所以呢下面要说的东西还是有一些参考价值的吧。 有同学在问题下回答道「我要给每一个…
a = a(:).';
a = a(:).';
可以用未公开的函数 sprintfc:&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&o&&&&&/span& &span class=&n&&a&/span& &span class=&p&&=&/span& &span class=&n&&sprintfc&/span&&span class=&p&&(&/span&&span class=&s&&'%d'&/span&&span class=&p&&,&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&mi&&7&/span&&span class=&p&&)&/span&
&span class=&n&&a&/span& &span class=&p&&=&/span&
&span class=&mi&&1&/span&×&span class=&mi&&7&/span& &span class=&n&&cell&/span& &span class=&n&&array&/span&
&span class=&s&&'1'&/span&
&span class=&s&&'2'&/span&
&span class=&s&&'3'&/span&
&span class=&s&&'4'&/span&
&span class=&s&&'5'&/span&
&span class=&s&&'6'&/span&
&span class=&s&&'7'&/span&
&/code&&/pre&&/div&16b 可以用新的 string 类型，string 相比 cellstr 有不少有点：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&o&&&&&/span& &span class=&n&&b&/span& &span class=&p&&=&/span& &span class=&n&&string&/span&&span class=&p&&(&/span&&span class=&mi&&1&/span&&span class=&p&&:&/span&&span class=&mi&&7&/span&&span class=&p&&)&/span&
&span class=&n&&b&/span& &span class=&p&&=&/span&
&span class=&mi&&1&/span&×&span class=&mi&&7&/span& &span class=&n&&string&/span& &span class=&n&&array&/span&
&&span class=&mi&&1&/span&&
&&span class=&mi&&2&/span&&
&&span class=&mi&&3&/span&&
&&span class=&mi&&4&/span&&
&&span class=&mi&&5&/span&&
&&span class=&mi&&6&/span&&
&&span class=&mi&&7&/span&&
&/code&&/pre&&/div&
可以用未公开的函数 sprintfc: && a = sprintfc('%d',1:7)
1×7 cell array
'1' '2' '3' '4' '5' '6' '7'16b 可以用新的 string 类型，string 相比 cellstr 有不少有点： && b = string(1:7)
1×7 string array
"1" "2" "3" "4" "5" "6" "7"
从你的代码看你是用的 cell 存储的（不过更推荐用 table），应当可以这样做：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&dat&/span& &span class=&p&&=&/span& &span class=&n&&dat&/span&&span class=&p&&(&/span&&span class=&n&&cellfun&/span&&span class=&p&&(&/span&&span class=&s&&'isempty'&/span&&span class=&p&&,&/span&&span class=&n&&strfind&/span&&span class=&p&&(&/span&&span class=&n&&dat&/span&&span class=&p&&(:,&/span&&span class=&mi&&2&/span&&span class=&p&&),&/span&&span class=&s&&'银行'&/span&&span class=&p&&)),:);&/span&
&/code&&/pre&&/div&或者 2016b 的新函数：&br&&div class=&highlight&&&pre&&code class=&language-matlab&&&span class=&n&&dat&/span& &span class=&p&&=&/span& &span class=&n&&dat&/span&&span class=&p&&(&/span&&span class=&o&&~&/span&&span class=&n&&contains&/span&&span class=&p&&(&/span&&span class=&n&&dat&/span&&span class=&p&&(:,&/span&&span class=&mi&&2&/span&&span class=&p&&),&/span&&span class=&s&&'银行'&/span&&span class=&p&&),:);&/span&
&/code&&/pre&&/div&不过如果你用的 2016b 的话说明你可以使用性能更好的 &a href=&//link.zhihu.com/?target=https%3A//cn.mathworks.com/help/matlab/characters-and-strings.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&String&/a& 类型，建议配合 &a href=&//link.zhihu.com/?target=https%3A//cn.mathworks.com/help/matlab/tables.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Table&/a& 使用
从你的代码看你是用的 cell 存储的（不过更推荐用 table），应当可以这样做： dat = dat(cellfun('isempty',strfind(dat(:,2),'银行')),:);或者 2016b 的新函数： dat = dat(~contains(dat(:,2),'银行'),:);不过如果你用的 2016b 的话说明你可以使用性能更…
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