FCMmatlab
所属分类：图形图像处理
开发工具：matlab
文件大小：6KB
下载次数：214
上传日期：2008-11-27 08:13:22
上 传 者：
yangfeiox
说明： 用matlab实现了FCM图像分割，分割效果较好。有说明
(Matlab achieved using FCM image segmentation, segmentation better. Described)
文件列表:
FCM,模糊C均值聚类的MATLAB实现[matlab]\calcDataDist.m (495, 2003-01-08)
FCM,模糊C均值聚类的MATLAB实现[matlab]\calcMub.m (789, 2003-01-08)
FCM,模糊C均值聚类的MATLAB实现[matlab]\calcStatYm.m (614, 2002-10-23)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm.m (1466, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm_calcC.m (601, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm_calcD.m (625, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm_calcU.m (896, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm_dataInitC.m (446, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\fcm_evalJ.m (455, 2002-01-31)
FCM,模糊C均值聚类的MATLAB实现[matlab]\searchMub.m (1108, 2003-01-08)
FCM,模糊C均值聚类的MATLAB实现[matlab] (0, 2006-05-25)
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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