Some distance K-means clustering algorithm to the data points as a prototype optimization objective function, using the function for extreme methods to adjust the rules to get the code for the iteration image classification

Kmeans实验
..........\Kmeans_me.m
..........\Kmeans_my.m
..........\Untitled2.m
..........\Untitled3.m
..........\de.jpg
..........\fengge_my.m
..........\tupianfenge.m
..........\waveform.mat
..........\we.jpg
..........\you.jpg
..........\实验截图
..........\........\分割区域1.jpg
..........\........\分割区域2.jpg
..........\........\分割区域3.jpg
..........\........\原始图像.jpg
..........\........\聚类结果.jpg

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