Local tangent space alignment: Difference between revisions

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m Removing obsolote parameters from template + WP:CHECKWIKI error fixes + genfixes, replaced: article issues → Multiple issues using AWB (7131)
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m Updating {{Multiple issues}} + general fixes using AWB (7565)
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{{Multiple issues|confusing=September 2009|unreferenced=September 2009|wikify=September 2009|expand =June 2010}}
'''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.