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Manifold Learning

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Data coming from real world are often difficult to understand because of their high dimensionality. Several dimension reduction technique address this issue have been proposed. Manifold learning is a most powerful kind of dimension reduction methods.

Isomap

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LLE

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Laplace Eigenmap

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