文件名称:FuzzyClusteringToolbox
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- 上传时间:2012-11-16
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文件大小:1.97mb
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已下载:0次
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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
Demos/clusteringexamples
Demos/clusteringexamples/motorcycle
Demos/clusteringexamples/motorcycle/FCMcall.m
Demos/clusteringexamples/motorcycle/GGcall.m
Demos/clusteringexamples/motorcycle/GKcall.m
Demos/clusteringexamples/motorcycle/Kmeanscall.m
Demos/clusteringexamples/motorcycle/Kmedoidcall.m
Demos/clusteringexamples/motorcycle/MotorCycle.txt
Demos/clusteringexamples/synthetic
Demos/clusteringexamples/synthetic/FCMcall.m
Demos/clusteringexamples/synthetic/GGcall.m
Demos/clusteringexamples/synthetic/GKcall.m
Demos/clusteringexamples/synthetic/Kmeanscall.m
Demos/clusteringexamples/synthetic/Kmedoidcall.m
Demos/clusteringexamples/synthetic/nDexample.m
Demos/clustevalexample
Demos/clustevalexample/data2.txt
Demos/clustevalexample/evalexample.m
Demos/comparing
Demos/comparing/FCMcall.m
Demos/comparing/GGcall.m
Demos/comparing/GKcall.m
Demos/comparing/Kmeanscall.m
Demos/comparing/Kmedoidcall.m
Demos/comparing/modvalidity.m
Demos/comparing/nDexample.m
Demos/normexample
Demos/normexample/data3.txt
Demos/normexample/normexample.m
Demos/optnumber
Demos/optnumber/modvalidity.m
Demos/optnumber/MotorCycle.txt
Demos/optnumber/optnumber.m
Demos/PCAexample
Demos/PCAexample/nDexample.m
Demos/PCAexample/PCAexample.m
Demos/projection
Demos/projection/IRIS.MAT
Demos/projection/visual_call.m
Demos/projection/WINEDAT.TXT
Demos/projection/wisconsin.wk1
FUZZCLUST
FUZZCLUST/clusteval.m
FUZZCLUST/clust_denormalize.m
FUZZCLUST/clust_normalize.m
FUZZCLUST/FCMclust.m
FUZZCLUST/FuzSam.m
FUZZCLUST/GGclust.m
FUZZCLUST/GKclust.m
FUZZCLUST/Kmeans.m
FUZZCLUST/Kmedoid.m
FUZZCLUST/nDexample.m
FUZZCLUST/PCA.m
FUZZCLUST/PROJEVAL.M
FUZZCLUST/SAMMON.M
FUZZCLUST/SAMSTR.M
FUZZCLUST/validity.m
FuzzyClusteringToolbox.pdf
Demos/clusteringexamples
Demos/clusteringexamples/motorcycle
Demos/clusteringexamples/motorcycle/FCMcall.m
Demos/clusteringexamples/motorcycle/GGcall.m
Demos/clusteringexamples/motorcycle/GKcall.m
Demos/clusteringexamples/motorcycle/Kmeanscall.m
Demos/clusteringexamples/motorcycle/Kmedoidcall.m
Demos/clusteringexamples/motorcycle/MotorCycle.txt
Demos/clusteringexamples/synthetic
Demos/clusteringexamples/synthetic/FCMcall.m
Demos/clusteringexamples/synthetic/GGcall.m
Demos/clusteringexamples/synthetic/GKcall.m
Demos/clusteringexamples/synthetic/Kmeanscall.m
Demos/clusteringexamples/synthetic/Kmedoidcall.m
Demos/clusteringexamples/synthetic/nDexample.m
Demos/clustevalexample
Demos/clustevalexample/data2.txt
Demos/clustevalexample/evalexample.m
Demos/comparing
Demos/comparing/FCMcall.m
Demos/comparing/GGcall.m
Demos/comparing/GKcall.m
Demos/comparing/Kmeanscall.m
Demos/comparing/Kmedoidcall.m
Demos/comparing/modvalidity.m
Demos/comparing/nDexample.m
Demos/normexample
Demos/normexample/data3.txt
Demos/normexample/normexample.m
Demos/optnumber
Demos/optnumber/modvalidity.m
Demos/optnumber/MotorCycle.txt
Demos/optnumber/optnumber.m
Demos/PCAexample
Demos/PCAexample/nDexample.m
Demos/PCAexample/PCAexample.m
Demos/projection
Demos/projection/IRIS.MAT
Demos/projection/visual_call.m
Demos/projection/WINEDAT.TXT
Demos/projection/wisconsin.wk1
FUZZCLUST
FUZZCLUST/clusteval.m
FUZZCLUST/clust_denormalize.m
FUZZCLUST/clust_normalize.m
FUZZCLUST/FCMclust.m
FUZZCLUST/FuzSam.m
FUZZCLUST/GGclust.m
FUZZCLUST/GKclust.m
FUZZCLUST/Kmeans.m
FUZZCLUST/Kmedoid.m
FUZZCLUST/nDexample.m
FUZZCLUST/PCA.m
FUZZCLUST/PROJEVAL.M
FUZZCLUST/SAMMON.M
FUZZCLUST/SAMSTR.M
FUZZCLUST/validity.m
FuzzyClusteringToolbox.pdf
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