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"Clustering different models"
I create classification models for about 1000 datasets. Now I want to find similarities or clusters in these models.
My models are decision trees. So I am looking for an operator that compares features and tresholds used in my trees to build some clusters out of my 1000 trees?!
Could anyone help me with telling if this is possible and what is the operator?