Local tangent space alignment: Difference between revisions

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{{article issues|article=yes|confusing=September 2009|unreferenced=September 2009|wikify=September 2009}}
'''Local Tangenttangent Spacespace Alignmentalignment (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.