Research map / Learning theory and algorithms / Clustering
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SUMVC instead of the strongest baseline | Multi-MNIST clustering · Multi-MNIST | ACC: 98.2 -> 99.8 | Helped |
| Use SUMVC instead of the strongest baseline | Multi-Fashion clustering · Multi-Fashion | ACC: 78.6 -> 91.4 | Helped |
| Use SUMVC instead of the strongest baseline | Multi-COIL-10 clustering · Multi-COIL-10 | ACC: 96.4 -> 100.0 | Helped |
| Use SUMVC instead of the strongest baseline | Multi-COIL-20 clustering · Multi-COIL-20 | ACC: 85.0 -> 100.0 | Helped |
| Add the KL constraint L_KL (ablation) | SUMVC · Multi-MNIST | ACC: 70.5 -> 94.5 | Helped |
| Add the sufficient representation loss L_suf (ablation) | SUMVC · Multi-MNIST | ACC: 94.5 -> 99.8 | Helped |
| Use reconstruction and KL losses alongside L_suf (ablation) | SUMVC · Multi-MNIST | ACC: 11.5 -> 99.8 | Helped |
| Add the KL constraint L_KL (ablation) | SUMVC · Multi-Fashion | ACC: 56.7 -> 84.9 | Helped |
| Add the sufficient representation loss L_suf (ablation) | SUMVC · Multi-Fashion | ACC: 84.9 -> 91.4 | Helped |
| Use reconstruction and KL losses alongside L_suf (ablation) | SUMVC · Multi-Fashion | ACC: 11.3 -> 91.4 | Helped |
| Add the KL constraint L_KL (ablation) | SUMVC · Multi-COIL-20 | ACC: 62.5 -> 83.7 | Helped |
| Add the sufficient representation loss L_suf (ablation) | SUMVC · Multi-COIL-20 | ACC: 83.7 -> 100.0 | Helped |
Closest papers by meaning
- Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering (ICML 2024 · similarity 0.91)
- Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures (AAAI 2024 · similarity 0.90)
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding (AAAI 2024 · similarity 0.89)
- Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views (NeurIPS 2024 · similarity 0.89)
- Robust Multi-view Clustering against Imperfect Information (NeurIPS 2026 · similarity 0.89)
- DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.89)
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