Laplacian eigenmap ~ Diffusion map ~ manifold learning

Demo techniques of nonlinear eigenmaps for the purpose of recovering low-dimensional geometries.
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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 (https://www.mathworks.com/matlabcentral/fileexchange/36141-laplacian-eigenmap-diffusion-map-manifold-learning), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.1

Updated license

1.0.0.0