Research map / Learning theory and algorithms / Clustering
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use EnSC-ORGEN instead of KMP | subspace clustering · Coil-100 | clustering accuracy (%): 61.97 -> 69.24 | Helped |
| Use EnSC-ORGEN instead of LRSC | subspace clustering · PIE | clustering accuracy (%): 46.65 -> 52.98 | Helped |
| Use EnSC-ORGEN instead of SSC-SPAMS | subspace clustering · MNIST | clustering accuracy (%): 92.46 -> 93.79 | Helped |
| Use EnSC-ORGEN instead of OMP | subspace clustering · CovType | clustering accuracy (%): 48.76 -> 53.52 | Helped |
| Use EnSC-ORGEN instead of SSC-SPAMS | subspace clustering · MNIST | running time (min.): 1350 -> 28 | Helped |
| Use EnSC-ORGEN instead of OMP | subspace clustering · CovType | running time (min.): 783 -> 1452 | Hurt |
| Increase the elastic-net trade-off parameter λ | EnSC · synthetic subspace data | percentage of correct representations | Helped |
| Use ORGEN active-set optimization rather than solving each problem with a stand-alone solver | elastic-net optimization · synthetic data | computational efficiency | Helped |
Closest papers by meaning
- Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit (CVPR 2016 · similarity 0.89)
- Sparse Subspace Clustering by Learning Approximation ℓ0 Codes (AAAI 2017 · similarity 0.88)
- Subspace Clustering via Variance Regularized Ridge Regression (CVPR 2017 · similarity 0.88)
- Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit (ICML 2016 · similarity 0.87)
- Leveraging Union of Subspace Structure to Improve Constrained Clustering (ICML 2017 · similarity 0.86)
- From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement (NeurIPS 2024 · similarity 0.86)
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