I am not sure this might help, but you are perhaps lookign at variable
selection. There is a 2006 JASA paper by Raftery and Dean which may
help.
Many thanks,
Ranjan
On Fri, 27 Jul 2007 17:32:02 +1000 [EMAIL PROTECTED] wrote:
Hi List,
How would I go about best identifying the variables contributing most
to the specific clusters?
eg using either aglomerative or partitioning methods, but with mixed
variables (ie including categorical) eg:
factor(as.integer(runif(min=1, max=5,nrow(USArrests-t1
as.data.frame(cbind(USArrests,categ=t1))-test
agnes(test,metric=gower, method=ward)-test1
cutree(test1,k=5)-clust
?where to go from here?
Any hints appreciated
Thanx
Herry
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