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Semi-supervised clustering is one of the most active research area in machine learning and pattern recognition, which can improve the performance of unsupervised clustering efficiently. This paper focuses on exploiting both the label information of a few labeled samples and the spatial distribution information of large amount of unlabeled samples. We proposed a new semi-supervised clustering method,...
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