gaussian mixture models (GMM) do not adapt well to curved and strongly
nonlinear data. However, we can use Gaussians in the curvilinear coordinate
systems to solve this problem. Moreover, such a solution allows for the
adaptation of clusters to the complicated shapes defined by the fam