Research map / Learning theory and algorithms / Clustering
Hierarchical Multiple Kernel Clustering
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use hierarchical intermediary matrices of descending sizes and jointly optimize them with the consensus partition | HMKC · CCV | ACC: 26.66 -> 37.37 | Helped |
| Use hierarchical intermediary matrices of descending sizes and jointly optimize them with the consensus partition | HMKC · Flower17 | ACC: 60.00 -> 71.18 | Helped |
| Use hierarchical intermediary matrices of descending sizes and jointly optimize them with the consensus partition | HMKC · Flower102 | NMI: 57.38 -> 62.47 | Helped |
| Use hierarchical intermediary matrices of descending sizes and jointly optimize them with the consensus partition | HMKC · BBCSport | NMI: 73.89 -> 76.72 | Helped |
| Use two intermediary-matrix layers instead of one (ablation) | HMKC on CCV · CCV | ACC: 36.57 -> 37.37 | Helped |
| Use two intermediary-matrix layers instead of one (ablation) | HMKC on CCV · CCV | NMI: 31.64 -> 32.71 | Helped |
| Increase intermediary-matrix sizes (ablation) | HMKC-1 on CCV · CCV | ACC | Helped |
| Increase intermediary-matrix sizes (ablation) | HMKC-2 on CCV · CCV | ACC | Helped |
| Add successive intermediary-matrix layers, each k bigger than the preceding layer (ablation) | HMKC on CCV · CCV | NMI: around 2% | Mixed |
| Use HMKC-2 rather than a one-layer intermediary-matrix model (ablation) | HMKC · 8 benchmark datasets | ACC | Helped |
Closest papers by meaning
- Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation (ICML 2024 · similarity 0.93)
- Fusion Multiple Kernel K-means (AAAI 2022 · similarity 0.92)
- Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel (NeurIPS 2022 · similarity 0.92)
- COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering (ICML 2025 · similarity 0.92)
- Incremental Nyström-based Multiple Kernel Clustering (AAAI 2025 · similarity 0.90)
- Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.