Matlab 实现 K_MEANS

一、算法

1) Input: K, set of points:p1,...,pn
2) Place centroids c1,...,ck at random locations
3) Repeat:
    --for each point pi:
        find nearest centroid cj and assign the pi to cluster j
    --for each cluster j=1,...,K:
        new centroid cj = mean of all points that assigned to cluster j;

   Stop when none of the cluster assignments change

二、实现效果

三、源码

%============== K_means ================
clear;
close all;
 
total_width = 100;
total_height