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.beaude...@gmail.com] Sent: Wednesday, July 01, 2009 2:01 PM To: Herr, Alexander Herr - Herry (CSE, Gungahlin) Cc: r-help@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.h...@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 > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
