Random Forests do not do clustering. You need to take the proximity matrix and feed it to algorithms of your choice for that.
Best, Andy From: [EMAIL PROTECTED] > > Friends, > I would like to use Random Forest in unsupervised mode to > classify data that are > from a mixture of categorical and continuous variables. The > examples I find > online use only continuous data, followed by an mds plot. Is > it correct to use > RF to obtain proximities for my mixed dataset and then > perform some other form > of clustering (i.e. pam, clara, etc.) using the proximities > matrix? Or is there > a way to perform unsupervised classification that will kick > out cluster > membership on this dataset in RF itself? > > Thanks, > Helen Poulos > Yale School of Forestry > > ______________________________________________ > 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. > > > ------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachme...{{dropped:15}} ______________________________________________ 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.
