Hi,
I happened to have a question on the prox measure in rf:
I guess the splitting in "tree growing" when running in an unsupervised mode
has to be totally random (i.e. mtry=1 and splitting value is randomly
selected) but I am not sure if the guessing is correct. But if the class
label is available, should rf grow trees in a classification way so that it
can give a better measure on prox?



thanks for your comments,

Weiwei


--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

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