Re: [R] unsupervised random forest classification

From: Liaw, Andy <andy_liaw_at_merck.com>
Date: Thu, 10 Jan 2008 12:34:14 -0500

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: helen.mills_at_yale.edu
>
> 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_at_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_at_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. Received on Thu 10 Jan 2008 - 17:38:16 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Thu 10 Jan 2008 - 18:30:06 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive