FCM,模糊C均值聚类的MATLAB实现[matlab]

所属分类:matlab编程
开发工具:matlab
文件大小:5KB
下载次数:8
上传日期:2019-11-26 10:43:31
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说明:  FCM——模糊C均值聚类的MATLAB实现[matlab]
(Matlab implementation of FCM, fuzzy c-means clustering [matlab])

文件列表:
searchMub.m (1108, 2003-01-08)
calcMub.m (789, 2003-01-08)
calcStatYm.m (614, 2002-10-23)
fcm.m (1466, 2002-01-31)
fcm_calcC.m (601, 2002-01-31)
fcm_calcD.m (625, 2002-01-31)
fcm_calcU.m (896, 2002-01-31)
fcm_dataInitC.m (446, 2002-01-31)
fcm_evalJ.m (455, 2002-01-31)
calcDataDist.m (495, 2003-01-08)

This file describe the content of fcm.ZIP Notations used X = dataset of size (M,N) M = number of experiments N = numbre of genes K = number of clusters mub = upper bound value of the fuzzy parameter file description calcDataDist.m compute the vector of size [N(N-1)/2,1] containing distances between all pair of genes using the dataset (computionally expensive for large N) calcMub.m compute the upper bound value of fuzzy parameter from the dataset calcStatYm.m compute mean, std, cv from the [N(N-1)/2] distances vector fcm.m compute the centroids and the fuzzy partition matrix fcm_calcC.m used by fcm.m fcm_calcD.m used by fcm.m fcm_calcU.m used by fcm.m fcm_dataInitC.m used by fcm.m fcm_evalJ.m used by fcm.m searchMub.m compute the upper bound value of the fuzzy parameter from the [N(N-1)/2,1] vector of distances NB : every function has its own help which can be obtained by typing "help name" where "name" is the function, e.g. "help fcm"

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