Non-linear dimensionality reduction: Riemannian metric estimation and the problem of geometric discovery

Dominique Perraul-Joncas, Marina Meila

In recent years, manifold learning has become increasingly popular as a tool for performing non-linear dimensionality reduction. This has led to the development of numerous algorit…