Problem: unsupervised clustering
represent data in feature space; learn a non-linear mapping from data space X to feature space Z.
Problem formulation: cluster a set of n points into k clusters, each represented by a centroid uj.
Problem: unsupervised clustering
represent data in feature space; learn a non-linear mapping from data space X to feature space Z.
Problem formulation: cluster a set of n points into k clusters, each represented by a centroid uj.