Local tangent space alignment: Difference between revisions

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'''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.
 
 
[[Category:Manifolds]]