Laplacian eigenmap ~ Diffusion map ~ manifold learning

Demo techniques of nonlinear eigenmaps for the purpose of recovering low-dimensional geometries.

Using manifold learning techniques (aka diffusion maps, Laplacian eigenmaps, intrinsic Fourier analysis) this file recovers the true, two-dimensional structure of a dataset of points embedded in 3D.