On 06/04/2015 02:04 PM, Sturla Molden wrote: > On 04/06/15 17:15, Andreas Mueller wrote: > >> Tree-based methods are the only ones that are invariant towards feature >> scaling, do DecisionTree*, RandomForest*, ExtraTrees*, Bagging* (with >> trees), GradientBoosting* (with trees). >> >> For all other algorithms, the outcome will be different whether you >> scale your data or not. > GMMs should also be scaling-invariant. I'm not sure what you mean by that. The cluster-memberships? The means and covariances will certainly be different.
They are actually somewhat regularized in scikit-learn, by having a minimum diagonal covariance. Results will also be different because GMM is initialized by K-Means. ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
