The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the objects that are divided into the same cluster be the largest, and the similarity between different clusters is the smallest. The fuzzy C-means algorithm is an improvement of the ordinary C-means algorithm. The common C-means algorithm is hard for the data division, and FCM is a flexible fuzzy division. Before introducing the specific FCM algorithm, we first introduce some basic knowledge of fuzzy sets.

Filename	Size	Update
2.2 图像分割技术\2.2-2程序调用说明.doc	28672	2012-09-26
2.2 图像分割技术\adaptivethreshold.m	687	2012-02-06
2.2 图像分割技术\baihe.jpg	168694	2011-07-03
2.2 图像分割技术\ex1.m	347	2012-02-06
2.2 图像分割技术\ex2.m	386	2012-02-06
2.2 图像分割技术\ex3.m	1278	2012-02-06
2.2 图像分割技术\ex4.m	120	2012-02-06
2.2 图像分割技术\hehua.JPG	27660	2011-07-03
2.2 图像分割技术\kmeans.m	954	2012-02-06
2.2 图像分割技术\medtest.png	53631	2008-03-06
2.2 图像分割技术\moli.jpg	62567	2011-07-03
2.2 图像分割技术\regiongrowing.m	1610	2018-03-06
2.2 图像分割技术\shuixian.jpg	149852	2011-07-03
2.2 图像分割技术\thresh_md.m	855	2012-02-06
2.2 图像分割技术\tshape.png	67242	2005-10-05
2.2 图像分割技术\Untitled.m	132	2018-03-06
2.2 图像分割技术\xiangrikui.jpg	252889	2011-07-03
2.2 图像分割技术	0	2018-03-19

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