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In the human brain, it is well known that perception is based on similarity rather than coordinates and it is carried out on the manifold of data set. Isomap (Tenenbaum et al., 2000) is one of widely-used low-dimensional embedding methods where approximate geodesic distance on a weighted graph is used in the framework of classical scaling (metric MDS). In this paper, we consider two critical issues...
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