WSC-PML decomposes clustering membership A = Π ⊙ F to integrate clustering constraints with multi-label assignments and outperforms prior methods on 24 datasets.
Partial multi-label learning with noisy label identification.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7):3676– 3687
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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.