Research map / Graph learning / Graph algorithms and clustering
Double Low-Rank Representation With Projection Distance Penalty for Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DLRRPD instead of RSEC | Self-representation clustering · Auto | ACC: 44.39 -> 46.83 | Helped |
| Use DLRRPD instead of AWNLRR | Self-representation clustering · Cars | ACC: 66.33 -> 68.37 | Helped |
| Use DLRRPD instead of DLRR | Self-representation clustering · Control | ACC: 74.00 -> 76.33 | Helped |
| Use DLRRPD instead of NSLLRR | Self-representation clustering · Glass | ACC: 57.48 -> 58.48 | Helped |
| Use DLRRPD instead of RSEC | Self-representation clustering · Isolet | ACC: 62.95 -> 67.37 | Helped |
| Use DLRRPD instead of AWNLRR | Self-representation clustering · Dig | ACC: 79.86 -> 88.81 | Helped |
| Use DLRRPD instead of LapNR | Self-representation clustering · MNIST | ACC: 64.00 -> 68.20 | Helped |
| Use DLRRPD instead of LapNR | Self-representation clustering · USPS | ACC: 57.20 -> 59.90 | Helped |
| Use DLRRPD instead of LatLRR | Self-representation clustering · Jaffe | ACC: 100 -> 100 | No clear effect |
| Use DLRRPD instead of RSEC | Self-representation clustering · MSRA | ACC: 69.71 -> 72.98 | Helped |
| Use DLRRPD instead of LRRAGR | Self-representation clustering · Umist | ACC: 69.91 -> 80.17 | Helped |
Closest papers by meaning
- Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering (CVPR 2019 · similarity 0.88)
- Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit (ICML 2016 · similarity 0.86)
- Product Grassmann Manifold Representation and Its LRR Models (AAAI 2016 · similarity 0.85)
- The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (AAAI 2016 · similarity 0.85)
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.84)
- From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement (NeurIPS 2024 · similarity 0.83)
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