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[Matlab]
[源码]
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- Update:
- 2017-08-12
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Description: Fuzzy clustering analysis generally refers to the construction of fuzzy matrix based on the attributes of the research object itself, and on this basis, according to a certain degree of membership to determine the cluster relationship, that is, fuzzy mathematics method to determine the fuzzy relationship between the quantitative , So that the objective and accurate clustering. Clustering is the data set is divided into multiple classes or clusters, so that the data between the various categories should be as large as possible, the data between the class should be as small as possible, that is, "minimize the similarity between classes, Class similarity "principle.
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FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\FCMcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\GGcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\GKcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\Kmeanscall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\Kmedoidcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\MotorCycle.txt
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\FCMcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\GGcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\GKcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\Kmeanscall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\Kmedoidcall.m
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\nDexample.m
FuzzyClusteringToolbox\Demos\clustevalexample\data2.txt
FuzzyClusteringToolbox\Demos\clustevalexample\evalexample.m
FuzzyClusteringToolbox\Demos\comparing\FCMcall.m
FuzzyClusteringToolbox\Demos\comparing\GGcall.m
FuzzyClusteringToolbox\Demos\comparing\GKcall.m
FuzzyClusteringToolbox\Demos\comparing\Kmeanscall.m
FuzzyClusteringToolbox\Demos\comparing\Kmedoidcall.m
FuzzyClusteringToolbox\Demos\comparing\modvalidity.m
FuzzyClusteringToolbox\Demos\comparing\nDexample.m
FuzzyClusteringToolbox\Demos\normexample\data3.txt
FuzzyClusteringToolbox\Demos\normexample\normexample.m
FuzzyClusteringToolbox\Demos\optnumber\modvalidity.m
FuzzyClusteringToolbox\Demos\optnumber\MotorCycle.txt
FuzzyClusteringToolbox\Demos\optnumber\optnumber.m
FuzzyClusteringToolbox\Demos\PCAexample\nDexample.m
FuzzyClusteringToolbox\Demos\PCAexample\PCAexample.m
FuzzyClusteringToolbox\Demos\projection\IRIS.MAT
FuzzyClusteringToolbox\Demos\projection\visual_call.m
FuzzyClusteringToolbox\Demos\projection\WINEDAT.TXT
FuzzyClusteringToolbox\Demos\projection\wisconsin.wk1
FuzzyClusteringToolbox\FUZZCLUST\clusteval.m
FuzzyClusteringToolbox\FUZZCLUST\clust_denormalize.m
FuzzyClusteringToolbox\FUZZCLUST\clust_normalize.m
FuzzyClusteringToolbox\FUZZCLUST\FCMclust.m
FuzzyClusteringToolbox\FUZZCLUST\FuzSam.m
FuzzyClusteringToolbox\FUZZCLUST\GGclust.m
FuzzyClusteringToolbox\FUZZCLUST\GKclust.m
FuzzyClusteringToolbox\FUZZCLUST\Kmeans.m
FuzzyClusteringToolbox\FUZZCLUST\Kmedoid.m
FuzzyClusteringToolbox\FUZZCLUST\nDexample.m
FuzzyClusteringToolbox\FUZZCLUST\PCA.m
FuzzyClusteringToolbox\FUZZCLUST\PROJEVAL.M
FuzzyClusteringToolbox\FUZZCLUST\SAMMON.M
FuzzyClusteringToolbox\FUZZCLUST\SAMSTR.M
FuzzyClusteringToolbox\FUZZCLUST\validity.m
FuzzyClusteringToolbox\FuzzyClusteringToolbox.pdf
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle
FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic
FuzzyClusteringToolbox\Demos\clusteringexamples
FuzzyClusteringToolbox\Demos\clustevalexample
FuzzyClusteringToolbox\Demos\comparing
FuzzyClusteringToolbox\Demos\normexample
FuzzyClusteringToolbox\Demos\optnumber
FuzzyClusteringToolbox\Demos\PCAexample
FuzzyClusteringToolbox\Demos\projection
FuzzyClusteringToolbox\Demos
FuzzyClusteringToolbox\FUZZCLUST
FuzzyClusteringToolbox