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Algorithms for manifold learning

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Author/s

Lawrence Cayton (University of California San Diego)

About the resource/s

The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction). Specifically, it presents Isomap, Locally Linear Embedding, Laplacian Eigenmaps, Semidefinite Embedding and variants of those.

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Other - Paper link

Paper link