[R] hierarchical clustering - variable selection

[Alexander.Herr at csiro.au]

Maybe I haven't been sufficiently clear on what I am after:

I am looking for R adaptations of approaches (relevant to hierarchical clustering of categorical variables) described in  

Steinley and Brusco 2008 "Selection of variables in cluster analysis: an empirical comparison of eight procedures" Psychometrika, 73,1, 125-144


Thanx
Herry

-----Original Message-----
From: Dylan Beaudette [mailto:dylan.beaudette at gmail.com] 
Sent: Wednesday, July 01, 2009 2:01 PM
To: Herr, Alexander Herr - Herry (CSE, Gungahlin)
Cc: r-help at r-project.org
Subject: Re: [R] hierarchical clustering - variable selection

varclust() in the Hmisc package might be what you are looking for.

Dylan

On Tue, Jun 30, 2009 at 7:27 PM, <Alexander.Herr at csiro.au> wrote:
>
> Hi List,
>
> I am looking for a procedure that allows selection of variables in a clustering attempt.
>
> Specifically I am searching for a way of selecting out noise variables from a set of numeric/categorical variables (or of course selecting "non-noise" variables).
>
> The procedure should work with gower/ward metric/method. So far I have only found procedures that deal with numerical variables.
>
> Any hints to packages/procedure would be appreciated
>
> Thanks
> Herry
>
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