Research map / Learning theory and algorithms / Clustering
Multi-View Clustering in Latent Embedding Space
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · Yale | ACC: 0.6673 -> 0.7048 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · MSRCv1 | ACC: 0.6743 -> 0.8819 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · ORL | ACC: 0.8013 -> 0.7973 | No clear effect |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · BBCSport | ACC: 0.8512 -> 0.8798 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · Yale | NMI: 0.6896 -> 0.7254 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · MSRCv1 | NMI: 0.5776 -> 0.7976 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · ORL | NMI: 0.9066 -> 0.9022 | No clear effect |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · BBCSport | NMI: 0.7448 -> 0.8071 | Helped |
| MCLES (joint latent embedding, similarity and indicator learning) vs LMSC | multi-view clustering · MSRCv1 | PUR: 0.6900 -> 0.8819 | Helped |
| vary parameters d, alpha, beta, gamma over ranges (ablation) | MCLES · all four datasets | NMI | No clear effect |
Closest papers by meaning
- Latent Multi-View Subspace Clustering (CVPR 2017 · similarity 0.90)
- Partial Multi-View Clustering via Self-Supervised Network (AAAI 2024 · similarity 0.88)
- EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering (CVPR 2025 · similarity 0.87)
- Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction (AAAI 2025 · similarity 0.87)
- Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead (ICML 2025 · similarity 0.87)
- Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures (AAAI 2024 · similarity 0.87)
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