On 04/06/15 20:18, Andreas Mueller wrote: > I'm not sure what you mean by that. The cluster-memberships? The means > and covariances will certainly be different.
The Mahalanobis distance will undo any linear scaling operation. > They are actually somewhat regularized in scikit-learn, by having a > minimum diagonal covariance. Good. Component-wise EM (aka CEM2) is a better way of avoiding the singularity disease, though. Sturla ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
