[R] unsupervised random forest classification

[Liaw, Andy]

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
> 
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