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ISOMAP, LLE, Laplacian eigenmaps and LTSA are several representative manifold learning algorithms. In most of manifold learning methods, there are two free parameters: the neighborhood size and the intrinsic dimension of the high dimensional data set. In this paper, we analyze and compare the stress function, the residual variance and the dy-dx representation. On the basis of the dy-dx representation,...
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