WSC-PML decomposes clustering membership A = Π ⊙ F to integrate clustering constraints with multi-label assignments and outperforms prior methods on 24 datasets.
Feature-induced par- tial multi-label learning
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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.