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Isomap is one of the recently proposed manifold learning algorithms for nonlinear dimensionality reduction. However, Isomap not only suffers from a deficiency of no explicit mapping function, which is from high dimensional space to low dimensional space, but also does not employ the class information. In this paper, a supervised version of Isomap with explicit mapping, called SE-Isomap, is proposed...
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