Laplacian eigenmap ~ Diffusion map ~ manifold learning

Demo techniques of nonlinear eigenmaps for the purpose of recovering low-dimensional geometries.
Updated 1 Sep 2016

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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.

Cite As

Kye Taylor (2024). Laplacian eigenmap ~ Diffusion map ~ manifold learning (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Updated license