Research map / Learning theory and algorithms / Clustering
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| UGLTL vs ETLMSC (joint graph learning with low-rank tensor) | multi-view clustering · MITIndoor-67 | ACC: 0.775 -> 0.948 | Helped |
| UGLTL vs ETLMSC | multi-view clustering · Scene-15 | ACC: 0.878 -> 0.976 | Helped |
| UGLTL vs ETLMSC | multi-view clustering · COIL-20 | ACC: 0.877 -> 1.000 | Helped |
| UGLTL vs ETLMSC | multi-view clustering · Caltech-101 | ACC: 0.639 -> 0.669 | Helped |
| UGLTL vs t-SVD-MSC | multi-view clustering · Notting-Hill | ACC: 0.957 -> 0.950 | No clear effect |
| add subspace projection (ablation) | UGLTL · Scene-15 | NMI: 0.942 -> 0.960 | Helped |
| add subspace projection (ablation) | UGLTL · MITIndoor-67 | NMI: 0.941 -> 0.979 | Helped |
| add subspace projection (ablation) | UGLTL · COIL-20 | NMI: 1.000 -> 1.000 | No clear effect |
| low-rank tensor over views instead of shared low-rank matrix (vs MLAN) (ablation) | graph-based multi-view clustering · Scene-15 | NMI: 0.471 -> 0.942 | Helped |
| projected graph learning instead of self-representation | multi-view clustering · COIL-20 | running time: 103.4s -> 16.5s | Helped |
| vary alpha, beta, gamma within [0.1,10] (ablation) | UGLTL · COIL-20 | NMI | No clear effect |
Closest papers by meaning
- S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering (CVPR 2024 · similarity 0.91)
- Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model (ICLR 2024 · similarity 0.91)
- Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.89)
- SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering (AAAI 2025 · similarity 0.89)
- Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels (CVPR 2025 · similarity 0.89)
- From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement (NeurIPS 2024 · similarity 0.89)
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