Hi there,
generally finding the right number of clusters is a difficult problem and
depends heavily on the cluster concept needed for the particular
application.
No outcome of any automatic mathod should be taken for granted.
Having said that, I guess that something like the example given in
?pam.object
(replacing pam by clara) should work with clara, too.
Regards,
Christian
On Tue, 30 Sep 2008, pacomet wrote:
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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Christian Hennig
University College London, Department of Statistical Science
Gower St., London WC1E 6BT, phone +44 207 679 1698
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