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Before clustering, we usually have some background knowledge about the data structure. Pairwise constraints are commonly used background knowledge. For graph partition problems, pairwise constraints can be naturally added to the graph edge. This paper integrates pairwise constraints into the objective function of graph cuts and derive the semi-supervised approximate spectral clustering based on Hidden...
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