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Spectral clustering has become a popular subspace clustering algorithm in machine learning and data mining, which aims at finding a low-dimensional representation by utilizing the spectrum of a Laplacian matrix. It is a key to construct a discriminative and reliable affinity matrix for spectral clustering to achieve impressive clustering quality. As the real word data increase with higher dimension...
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