模糊C均值聚类(FCM)的MATLAB实现

dynamic

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"

yinjj

very good!!!thanks a lot.

myaqua1982

非常感谢！好东西，感谢了

yuweiisme

very good!!!thanks a lot.

jijiling

非常有帮助，谢谢分享

blessgrass

非常谢谢你与我们分享~

jijiling

非常感谢！好东西，感谢了

喜羊羊

非常感谢！好东西，感谢了

xiaochonga

不是matlab自带工具箱里的吧

genan2017

我很需要，谢谢
我很需要，谢谢