Nonlinear Dimensionality Reduction - Manifold Learning Algorithms

Manifold Learning Algorithms

Some of the more prominent manifold learning algorithms are listed below (in approximately chronological order). An algorithm may learn an internal model of the data, which can be used to map points unavailable at training time into the embedding in a process often called out-of-sample extension.

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