Local tangent space alignment: Difference between revisions

Revision as of 01:50, 12 April 2010

Revision as of 06:20, 22 June 2010

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{{expand|date=June 2010}}

{{article issues|article=yes|confusing=September 2009|unreferenced=September 2009|wikify=September 2009}}

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