Regularization of Mixture Models for Robust Principal Graph Learning

Tony Bonnaire, Aurélien Decelle, Nabila Aghanim

A regularized version of Mixture Models is proposed to learn a principal graph from a distribution of $D$-dimensional data points. In the particular case of manifold learning for r…