Research map / Learning theory and algorithms / Clustering
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| UEAF (missing-view inference + reverse graph + view weighting) vs DAIMC | incomplete multi-view clustering · BBCSport missing rate 0.3 | ACC: 63.45 -> 77.24 | Helped |
| UEAF vs DAIMC | incomplete multi-view clustering · BUAA paired rate 0.7 | ACC: 80.67 -> 88.00 | Helped |
| UEAF vs GPMVC | incomplete multi-view clustering · Handwritten paired rate 0.7 | NMI: 73.68 -> 74.69 | Helped |
| fill missing views with view average (BSV/Concat) instead of dedicated methods | k-means · incomplete multi-view datasets | ACC | Hurt |
| add reverse graph regularization (ablation) | UEAF (degraded model 1) · BBCSport and BUAA | ACC | Helped |
| add Laplacian-regularized missing-view completion instead of average filling (ablation) | UEAF (degraded model 2) · BBCSport and BUAA | ACC | Helped |
| increase missing rate | all methods · 3 Sources | ACC: 62.60 -> 52.78 | Hurt |
Closest papers by meaning
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- Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures (AAAI 2024 · similarity 0.90)
- Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.90)
- Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering (AAAI 2025 · similarity 0.90)
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding (AAAI 2024 · similarity 0.90)
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