Diffusion Map for Manifold Learning, Theory and Implementation

This article aims to introduce one of the manifold learning techniques called Diffusion Map. This technique enables us to understand the underlying geometric structure of high dimensional data as well as to reduce the dimensions, if required, by neatly capturing the non-linear relationships between the original dimensions.

Check out the full article at KDNuggets.com website
Diffusion Map for Manifold Learning, Theory and Implementation