Research map / Learning theory and algorithms / Clustering
Neural Collaborative Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use collaborative classification and self-expressiveness affinities instead of k-SCN | Subspace clustering · MNIST | ACC (%): 87.14 -> 94.09 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of k-SCN | Subspace clustering · MNIST | NMI (%): 78.15 -> 86.12 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of k-SCN | Subspace clustering · MNIST | ARI (%): 75.81 -> 87.52 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of k-SCN | Subspace clustering · Fashion-MNIST | ACC (%): 63.78 -> 72.14 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of ClusterGAN | Subspace clustering · Fashion-MNIST | NMI (%): 64.00 -> 68.60 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of DAC | Subspace clustering · Fashion-MNIST | ARI (%): 50.20 -> 59.17 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of DSC-Net | Subspace clustering · Stanford Online Products subset | ACC (%): 26.87 -> 27.5 | Helped |
| Use collaborative classification and self-expressiveness affinities instead of LRR-CAE | Subspace clustering · Stanford Online Products subset | NMI (%): 17.36 -> 13.78 | Hurt |
| Use collaborative classification and self-expressiveness affinities instead of DSC-Net | Subspace clustering · Stanford Online Products subset | ARI (%): 8.75 -> 7.69 | Hurt |
Closest papers by meaning
- A Critique of Self-Expressive Deep Subspace Clustering (ICLR 2021 · similarity 0.93)
- Deep Subspace Clustering Networks (NeurIPS 2017 · similarity 0.92)
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.91)
- LRSC: Learning Representations for Subspace Clustering (AAAI 2021 · similarity 0.91)
- Learning a Self-Expressive Network for Subspace Clustering (CVPR 2021 · similarity 0.91)
- Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning (NeurIPS 2024 · similarity 0.87)
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