Research map / Learning theory and algorithms / Clustering
Robust Graph-Based Multi-View 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 RG-MVC instead of MCGC | Multi-view clustering · Flo17 | ACC (%): 58.31 -> 67.86 | Helped |
| Use RG-MVC instead of SMKKM | Multi-view clustering · Flo102 | ACC (%): 41.96 -> 44.02 | Helped |
| Use RG-MVC instead of MLAN | Multi-view clustering · DIGIT | ACC (%): 96.20 -> 96.45 | Helped |
| Use RG-MVC instead of MLAN | Multi-view clustering · Mfeat | ACC (%): 97.35 -> 96.95 | Hurt |
| Use RG-MVC instead of AMGL | Multi-view clustering · Cal102 | ACC (%): 37.65 -> 38.03 | Helped |
| Use RG-MVC instead of MCGC | Multi-view clustering · YALE | ACC (%): 63.03 -> 63.63 | Helped |
| Use RG-MVC instead of AMGL | Multi-view clustering · PFold | ACC (%): 36.89 -> 39.76 | Helped |
| Add min-max view-weight learning to consensus graph construction | RG-MVC · Flo17 and PFold with graph-level noise | ACC | Helped |
| Add adversarial view weighting that reduces weights on noisy views | RG-MVC · Flo17 with graph-level noise | view weights | Helped |
| Use reduced gradient descent on the convex reformulation | RG-MVC · Flo17, Flo102, and PFold | objective value | Helped |
Closest papers by meaning
- A Non-parametric Graph Clustering Framework for Multi-View Data (AAAI 2024 · similarity 0.91)
- SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering (AAAI 2024 · similarity 0.89)
- Multi-View Stochastic Block Models (ICML 2024 · similarity 0.89)
- Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering (CVPR 2025 · similarity 0.89)
- Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios (CVPR 2024 · similarity 0.88)
- Attribute-Missing Multi-view Graph Clustering (CVPR 2025 · similarity 0.88)
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.