文件名称:FuzzyClusteringToolbox
- 所属分类:
- matlab例程
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 1.97mb
- 下载次数:
- 0次
- 提 供 者:
- xuech******
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
程序包包含的验证方法,会根据以下的多个指数分配系数(Partition Coefficient),分类熵Classification Entropy ,分区索引,分离指数(Separation Index),Xie and Beni s的索引,严重聚类的算法-Package contains the authentication method will be based on the following number of index coefficient (Partition Coefficient), classification entropy Classification Entropy, geographical index, separation index (Separation Index), Xie and Beni s index, a serious clustering algorithm
相关搜索: entropy
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Demos
.....\clusteringexamples
.....\..................\motorcycle
.....\..................\..........\FCMcall.m
.....\..................\..........\GGcall.m
.....\..................\..........\GKcall.m
.....\..................\..........\Kmeanscall.m
.....\..................\..........\Kmedoidcall.m
.....\..................\..........\MotorCycle.txt
.....\..................\synthetic
.....\..................\.........\FCMcall.m
.....\..................\.........\GGcall.m
.....\..................\.........\GKcall.m
.....\..................\.........\Kmeanscall.m
.....\..................\.........\Kmedoidcall.m
.....\..................\.........\nDexample.m
.....\clustevalexample
.....\................\data2.txt
.....\................\evalexample.m
.....\comparing
.....\.........\FCMcall.m
.....\.........\GGcall.m
.....\.........\GKcall.m
.....\.........\Kmeanscall.m
.....\.........\Kmedoidcall.m
.....\.........\modvalidity.m
.....\.........\nDexample.m
.....\normexample
.....\...........\data3.txt
.....\...........\normexample.m
.....\optnumber
.....\.........\modvalidity.m
.....\.........\MotorCycle.txt
.....\.........\optnumber.m
.....\PCAexample
.....\..........\nDexample.m
.....\..........\PCAexample.m
.....\projection
.....\..........\IRIS.MAT
.....\..........\visual_call.m
.....\..........\WINEDAT.TXT
.....\..........\wisconsin.wk1
FUZZCLUST
.........\clusteval.m
.........\clust_denormalize.m
.........\clust_normalize.m
.........\FCMclust.m
.........\FuzSam.m
.........\GGclust.m
.........\GKclust.m
.........\Kmeans.m
.........\Kmedoid.m
.........\nDexample.m
.........\PCA.m
.........\PROJEVAL.M
.........\SAMMON.M
.........\SAMSTR.M
.........\validity.m
FuzzyClusteringToolbox.pdf
.....\clusteringexamples
.....\..................\motorcycle
.....\..................\..........\FCMcall.m
.....\..................\..........\GGcall.m
.....\..................\..........\GKcall.m
.....\..................\..........\Kmeanscall.m
.....\..................\..........\Kmedoidcall.m
.....\..................\..........\MotorCycle.txt
.....\..................\synthetic
.....\..................\.........\FCMcall.m
.....\..................\.........\GGcall.m
.....\..................\.........\GKcall.m
.....\..................\.........\Kmeanscall.m
.....\..................\.........\Kmedoidcall.m
.....\..................\.........\nDexample.m
.....\clustevalexample
.....\................\data2.txt
.....\................\evalexample.m
.....\comparing
.....\.........\FCMcall.m
.....\.........\GGcall.m
.....\.........\GKcall.m
.....\.........\Kmeanscall.m
.....\.........\Kmedoidcall.m
.....\.........\modvalidity.m
.....\.........\nDexample.m
.....\normexample
.....\...........\data3.txt
.....\...........\normexample.m
.....\optnumber
.....\.........\modvalidity.m
.....\.........\MotorCycle.txt
.....\.........\optnumber.m
.....\PCAexample
.....\..........\nDexample.m
.....\..........\PCAexample.m
.....\projection
.....\..........\IRIS.MAT
.....\..........\visual_call.m
.....\..........\WINEDAT.TXT
.....\..........\wisconsin.wk1
FUZZCLUST
.........\clusteval.m
.........\clust_denormalize.m
.........\clust_normalize.m
.........\FCMclust.m
.........\FuzSam.m
.........\GGclust.m
.........\GKclust.m
.........\Kmeans.m
.........\Kmedoid.m
.........\nDexample.m
.........\PCA.m
.........\PROJEVAL.M
.........\SAMMON.M
.........\SAMSTR.M
.........\validity.m
FuzzyClusteringToolbox.pdf