Research map / Learning theory and algorithms / Clustering
Decentralized Robust Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| solve SSC in column blocks on 2-6 cores instead of traditional SSC | SSC · MNIST 5000 images | time cost: reduce around 55% −85% time cost | Helped |
| column-block distributed ADMM vs SSC | SSC · MNIST 5000 images | clustering error | No clear effect |
| column-block ADMM with outliers | SSC · MNIST + 1000 outliers | time cost: 68% −90% | Helped |
| column-block ADMM on semi-supervised graph construction | SSC · MNIST-15k | time cost: less than 6% | Helped |
| column-block ADMM on semi-supervised graph construction | SSC · MNIST-15k and CIFAR10-10k | classification error | No clear effect |
| column-block ADMM on CIFAR10-10k | SSC · CIFAR10-10k | time cost: less than 17% | Helped |
| warm start of inner Lasso solver (ablation) | DSSC-ADMM · convergence | optimization efficiency | Helped |
Closest papers by meaning
- Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 2019 · similarity 0.89)
- Stochastic Sparse Subspace Clustering (CVPR 2020 · similarity 0.88)
- Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming (CVPR 2016 · similarity 0.88)
- SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms (CVPR 2018 · similarity 0.88)
- Heterogeneous Sufficient Dimension Reduction and Subspace Clustering (ICML 2025 · 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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