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In terms of machine learning theory, the intrinsic geometrical structure of the original data space is usually embedded in the low-dimensional manifold. The extraction of optimized manifold features could improve the performance of clustering. This paper presents a new spectral clustering method called local topology preserving indexing (LTPI). In this(More)
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