Research map / Learning theory and algorithms / Clustering
Fusion Multiple Kernel K-means
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Texas | ACC: 58.9 ± 1.4 -> 66.6 ± 1.0 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Football | ACC: 78.4 ± 2.6 -> 81.1 ± 2.7 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Wisconsin | ACC: 56.7 ± 0.2 -> 60.8 ± 1.1 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · BBCSport | ACC: 76.6 ± 2.8 -> 85.3 ± 0.3 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Willow | ACC: 27.0 ± 0.2 -> 28.2 ± 0.4 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Flower17 | ACC: 61.3 ± 1.0 -> 62.3 ± 1.2 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Flower102 | ACC: 41.7 ± 0.8 -> 43.0 ± 1.4 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · ALOI-100 | ACC: 68.3 ± 1.0 -> 72.1 ± 1.3 | Helped |
| Unify learnable base partitions with early kernel fusion and late partition fusion | FMKKM · Reuters | ACC: 46.2 ± 1.4 -> 46.3 ± 2.4 | Helped |
Closest papers by meaning
- Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation (ICML 2024 · similarity 0.89)
- Fair Kernel K-Means: from Single Kernel to Multiple Kernel (NeurIPS 2024 · similarity 0.87)
- COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering (ICML 2025 · similarity 0.87)
- Incremental Nyström-based Multiple Kernel Clustering (AAAI 2025 · similarity 0.86)
- Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization (AAAI 2025 · similarity 0.86)
- Explaining Kernel Clustering via Decision Trees (ICLR 2024 · similarity 0.85)
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