R help - Jul 2007 - cluster - identify variables contributions to clusters of cases

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

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 <Alexander.Herr at csiro.au> 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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