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2.嫻佸艦瀛︿範綆楁硶: 絳夎窛紱繪槧灝?Isometric mapping,Isomap),灞閮ㄧ嚎鎬у祵鍏?locally linear embedding, LLE),鎷夋櫘鎷夋柉鐗瑰緛鏄犲皠(laplacian eigenmap)鍜屽眬閮ㄤ繚鎸佹姇褰?Locality Preserving Projections,LPP)絳?br> 鐩稿叧璁烘枃: Isomap, global geometric framework for nonlinear dimensionality reduction LLE, Nonlinear dimentionality reduction by locally linear embedding. laplacian eigenmap, Laplacian eigenmaps for dimensionality reduction and data representation . LPP, Learning a locality discriminanting projection for classification.
