Research map / Learning theory and algorithms / Clustering
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the within-view reconstruction loss Lrec (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | ACC | Helped |
| Add the cross-view contrastive loss Lcl (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | ACC | Helped |
| Add the dual prediction loss Lpre (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | ACC | Helped |
| Increase entropy parameter α (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | clustering performance | Mixed |
| Vary prediction trade-off parameter λ1 (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | clustering performance | No clear effect |
| Vary reconstruction trade-off parameter λ2 (ablation) | COMPLETER · Caltech101-20, missing rate 0.5 | clustering performance | Mixed |
| Use COMPLETER rather than the strongest reported baseline | incomplete multi-view clustering · Caltech101-20, LandUse-21, Scene-15, and Noisy MNIST | clustering performance | Helped |
| Increase the missing rate | COMPLETER versus compared methods · Caltech101-20 | NMI | Mixed |
Closest papers by meaning
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding (AAAI 2024 · similarity 0.94)
- Incomplete Multi-view Clustering via Diffusion Contrastive Generation (AAAI 2025 · similarity 0.92)
- Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering (ICML 2024 · similarity 0.91)
- Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering (ICML 2024 · similarity 0.91)
- Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.91)
- Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering (AAAI 2025 · similarity 0.91)
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