WSC-PML decomposes clustering membership A = Π ⊙ F to integrate clustering constraints with multi-label assignments and outperforms prior methods on 24 datasets.
Statistical comparisons of classifiers over multiple data sets.The Journal of Machine learning re- search, 7:1–30, 2006
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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.