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Highlights from
Clustering Toolbox

• FCMclust(data,param) data normalization
• FuzSam(proj,result,param)
• GGclust(data,param) checking the parameters given
• GKclust(data,param) checking the parameters given
• PCA(data,param,result) %beletehet
• clust_denormalize(data)
• clusteval(new,result,param)
• data=clust_normalize(data,met...
• data=nDexample(cx,N,n,seedi)
• data=nDexample(cx,N,n,seedi)
• data=nDexample(cx,N,n,seedi)
• data=nDexample(cx,N,n,seedi)
• modvalidity(result,data,param... modified validation function for clustering, it calculates all the
• modvalidity(result,data,param... modified validation function for clustering, it calculates all the
• result=kmeans(data,param); checking the parameters given
• result=kmedoid(data,param); initialization
• validity(result,data,param) validation of the clustering
• FCMcall.m
• FCMcall.m
• FCMcall.m
• GGcall.m
• GGcall.m
• GGcall.m
• GKcall.m
• GKcall.m
• GKcall.m
• Kmeanscall.m
• Kmeanscall.m
• Kmeanscall.m
• Kmedoidcall.m
• Kmedoidcall.m
• Kmedoidcall.m
• PCAexample.m
• evalexample.m
• normexample.m
• optnumber.m
• visual_call.m
• View all files