FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均...

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition.

FCM聚类算法
res
Debug
data
FCM.APS
FCM.clw
FCM.cpp
FCM.dsp
FCM.dsw
FCM.h
FCM.ncb
FCM.opt
FCM.plg
FCM.rc
FCMDlg.cpp
FCMDlg.h
FCM聚类算法介绍.doc
ReadMe.txt
Resource.h
StdAfx.cpp
StdAfx.h