Revision as of 10:46, 8 September 2009 edit Erikcambria (talk \| contribs) 49 edits ←Created page with 'Local Tangent Space Alignment (LTSA) is a method for manifold learning, which can efficiently learn nonlinear embedding low-dimensional coordinates of [[high-dimens...'		Revision as of 12:57, 8 September 2009 edit undo Calaka (talk \| contribs) Autopatrolled, Extended confirmed users, Pending changes reviewers 20,929 edits m Added {{article issues}} with parameters confusing, unreferenced and wikify {{uncategorized}} tag to article. using Friendly Next edit →
Line 1: {{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 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. {{uncategorized\|date=September 2009}}

Local tangent space alignment: Difference between revisions