[R] unsupervised random forest classification

Liaw, Andy andy_liaw at merck.com
Thu Jan 10 18:34:14 CET 2008


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}}




More information about the R-help mailing list