Research map / Label-efficient and robust learning / Self-supervised and contrastive
LRSC: Learning Representations for Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use LRSC-L1 instead of DPSC | Subspace clustering · Fashion-MNIST | ACC: 0.624 -> 0.652 | Helped |
| Use LRSC-L1 instead of DASC | Subspace clustering · Fashion-MNIST | NMI: 0.647 -> 0.672 | Helped |
| Use LRSC-L1 instead of DPSC | Subspace clustering · Fashion-MNIST | ARI: 0.484 -> 0.529 | Helped |
| Use LRSC-L2 instead of DPSC | Subspace clustering · notMNIST | ACC: 0.566 -> 0.608 | Helped |
| Use LRSC-L2 instead of DPSC | Subspace clustering · notMNIST | NMI: 0.508 -> 0.523 | Helped |
| Use LRSC-L2 instead of DPSC | Subspace clustering · notMNIST | ARI: 0.415 -> 0.467 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · BBC | ACC: 0.893 -> 0.929 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · BBC | NMI: 0.751 -> 0.804 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · BBC | ARI: 0.759 -> 0.836 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · 20 Newsgroups | ACC: 0.356 -> 0.406 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · 20 Newsgroups | NMI: 0.280 -> 0.315 | Helped |
| Use LRSC-L2 instead of DASC | Subspace clustering · 20 Newsgroups | ARI: 0.122 -> 0.161 | Helped |
Closest papers by meaning
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.94)
- Deep Subspace Clustering Networks (NeurIPS 2017 · similarity 0.93)
- Efficient Deep Embedded Subspace Clustering (CVPR 2022 · similarity 0.93)
- A Critique of Self-Expressive Deep Subspace Clustering (ICLR 2021 · similarity 0.92)
- Neural Collaborative Subspace Clustering (ICML 2019 · similarity 0.91)
- Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning (NeurIPS 2024 · similarity 0.86)
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