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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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Your account will be renamed

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00:21, 20 March 2015 (UTC)

Renamed

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13:47, 22 April 2015 (UTC)