Hi everyone

I have a question about clustering. I've managed using CLARA to get a
clustering analysis of a large data set. But now I want to find which is the
right number of clusters.

The clara.object gives some information like the ratio between maximal and
minimal dissimilarity that says (maybe if lower than 1??) if a cluster is
well-separated from the other. I've also read something about silhouette and
abut cluster.stats but can't manage to get how to find the right number of
clusters.

I've tried a suggestion from the mailing list but when using dist

d1<-dist(mydata$sst)

it says that "specified vector size is too big"

Is there any method to find the right number of clusters when using clara?
Maybe something I've tried but with a small and simple trick I can't find

Thanks in advance

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