Looking at sklearn.ensemble.RandomForestRegressor I cannot see "Python's sklearn" random forest implementation to implement proximity matrices OOTB (e.g. like in R). Maybe I am wrong? If not I take it I have to implement somethig along those lines?
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As far as proximity matrices go, there's not really a difference between regression and classification, is there? And so your linked question seems actually a duplicate? – Ben Reiniger Jun 28 '22 at 12:38
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Is it a duplicte as I ask for the latest state of this? I would also think that the produced proximity matrix depends on the target? – cs0815 Jun 28 '22 at 13:00
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@BenReiniger does it matter if model is overfitted in the sense that I did not optimise hyperparameters and thus use same dataset to fit random forest and resulting proximity matrix to cluster? – cs0815 Jun 28 '22 at 16:05