If you can define a distance between two vectors (where each one has some numerical and some categorical coordinates) then you can proceed with any clustering algorithm.
One possibility to get such a distance is to use RandomForest which can produce a proximity matrix which can be turned into distance matrix. Regards, Moshe. --- On Wed, 11/6/08, Nagu <[EMAIL PROTECTED]> wrote: > From: Nagu <[EMAIL PROTECTED]> > Subject: [R] Cluster analysis using numeric and factor variables > To: r-help@r-project.org > Received: Wednesday, 11 June, 2008, 11:49 AM > Hi, > > Are there any algorithms that handle numeric and factor > variables > together in a cluster analysis? > > Thank you, > Nagu > > ______________________________________________ > 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.