Research map / Graph learning / Graph algorithms and clustering
Fast Multi-view Discrete Clustering with Anchor Graphs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · BBCSport | ACC: 0.7518 -> 0.7657 | Helped |
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · WebKB | ACC: 0.9581 -> 0.9657 | Helped |
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · Reuters1 | ACC: 0.4340 -> 0.4593 | Helped |
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · MNIST | ACC: 0.7437 -> 0.7389 | Hurt |
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · Reuters2 | ACC: 0.4900 -> 0.5108 | Helped |
| Use FMDC’s anchor-graph, directly discrete multi-view clustering instead of the strongest listed baseline | Multi-view clustering · NUS | ACC: 0.1635 -> 0.1771 | Helped |
| Increase the number of anchors (ablation) | FMDC · WebKB | ACC | Helped |
| Increase the number of anchors beyond an appropriate scale (ablation) | FMDC · WebKB | ACC | No clear effect |
Closest papers by meaning
- From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering (ICML 2025 · similarity 0.90)
- Fast Incomplete Multi-view Clustering by Flexible Anchor Learning (ICML 2025 · similarity 0.90)
- Learning Cluster-Wise Anchors for Multi-View Clustering (AAAI 2024 · similarity 0.89)
- A Non-parametric Graph Clustering Framework for Multi-View Data (AAAI 2024 · similarity 0.89)
- DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.89)
- Embedded Feature Selection on Graph-Based Multi-View Clustering (AAAI 2024 · similarity 0.89)
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