Diffusion Map Embedding

Diffusion maps build a Markov chain on point clouds via a kernel, then use eigenvectors of the diffusion operator as coordinates. Geodesic structure (like a Swiss roll) is "unrolled" into flat 2D.

Original point cloud (3D projection)
Diffusion map embedding (ψ₁ vs ψ₂)