WSC-PML decomposes clustering membership A = Π ⊙ F to integrate clustering constraints with multi-label assignments and outperforms prior methods on 24 datasets.
A review on multi-label learning algorithms.IEEE transactions on knowledge and data engineering, 26(8):1819–1837, 2013
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Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning
WSC-PML decomposes clustering membership A = Π ⊙ F to integrate clustering constraints with multi-label assignments and outperforms prior methods on 24 datasets.