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Local tangent space alignment

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This is an old revision of this page, as edited by Michael Hardy (talk | contribs) at 05:53, 11 October 2009. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Local tangent space alignment (LTSA) is a method for manifold learning, which can efficiently learn nonlinear embedding low-dimensional coordinates of high-dimensional data, and can also reconstruct high dimensional coordinates from embedding coordinates. But it ignores the label information conveyed by data samples, and can not be used for classification directly.