Basically the random forest algorithm can generate a proximity
matrix of the data, and it's up to you how you would want to
proceed from there. You can feed that into clustering
algorithms that accept a similarity matrix, or turn it into a
distance matrix for clustering algorithms that need a
On Wed, 2007-08-15 at 09:44 -0700, David Katz wrote:
> Several searches turned up nothing. Perhaps I will try to implement it if
> nobody else has. Thanks.
You can do this with Andy Liaw's randomForest package can do this and
the first hit on a Google search (on term "RFclustering") was this:
htt
Several searches turned up nothing. Perhaps I will try to implement it if
nobody else has. Thanks.
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