Abstract: LOGMAP is a Riemannian manifold learning algorithm proposed recently. It is efficient for many nonlinear dimension reduction problems. However, the algorithm is only fit for single class problem, when applied to multi-class data, it can＇t get desirable em

Key words: Manifold learning,Riemannian normal coordinates,Logarithmic map