Semi-Supervised Clustering via Constraints Self-Learning
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DOI: 10.3390/math13091535
Abstract: So far, most of the semi-supervised clustering algorithms focus on finding a suitable partition that well satisfies the given constraints. However, insufficient supervisory information may lead to over-fitting results and unstable performance, especially on complicated… read more here.
Keywords: self learning; semi supervised; clustering via; supervised clustering ... See more keywords