Clustering methods on the principle of all explanation, it is important there is a corresponding procedure, I ran, are very easy to use, and have used the standard data test.

模糊 聚类\Demos\clusteringexamples\motorcycle\FCMcall.asv
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.........\.....\..................\..........\GGcall.m
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.........\.....\..................\..........\Kmeanscall.m
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.........\.....\..................\.........\Kmeanscall.m
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.........\.....\..................\.........\nDexample.m
.........\.....\......valexample\data2.txt
.........\.....\................\evalexample.m
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.........\.....\.........\GKcall.m
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.........\.....\.........\modvalidity.m
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.........\.....\optnumber\modvalidity.m
.........\.....\.........\MotorCycle.txt
.........\.....\.........\optnumber.m
.........\.....\PCAexample\nDexample.m
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.........\.....\projection\IRIS.MAT
.........\.....\..........\visual_call.m
.........\.....\..........\WINEDAT.TXT
.........\.....\..........\wisconsin.wk1
.........\FUZZCLUST\clusteval.m
.........\.........\clust_denormalize.m
.........\.........\clust_normalize.m
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.........\.........\FuzSam.m
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.........\.........\Kmeans.m
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.........\.........\nDexample.m
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.........\.........\PROJEVAL.M
.........\.........\SAMMON.M
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.........\Demos\clusteringexamples\motorcycle
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模糊 聚类

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