Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation

Diffusion maps is a manifold learning algorithm widely used for dimensionality reduction. Using a sample from a distribution, it approximates the eigenvalues and eigenfunctions of associated Laplace-Beltrami operators... (read more)

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