LoomSC: Scalable Deep Subspace Clustering with Projector Factorization and Exact Spectral Reduction

arXiv:2610.10266 · cs.CV, cs.AI · Submitted 2026-10-07 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 19 pages, 7 figures, 5 tables; includes appendices

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Clustering — 128× in this paper · explained in 2 episodes
Accuracy — 24× in this paper · explained in 1 episode
Representation Learning — 11× in this paper · explained in 3 episodes
Adam — 10× in this paper · explained in 2 episodes
Sparse Subspace Clustering — 9× in this paper
Spectral clustering — 9× in this paper · explained in 3 episodes
Benchmark — 8× in this paper · explained in 2 episodes
Regularization — 6× in this paper · explained in 3 episodes
Latent Representation — 5× in this paper · explained in 2 episodes
Trace — 4× in this paper · explained in 2 episodes
Latent Representations — 3× in this paper · explained in 3 episodes
Latent Space — 3× in this paper · explained in 7 episodes
Sparsity — 3× in this paper · explained in 5 episodes
Least Squares Regression — 2× in this paper
Data Augmentation — 1× in this paper · explained in 9 episodes
Optimal Transport — 1× in this paper · explained in 5 episodes
Reconstruction Error — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 6 episodes

Sources

Doubly Stochastic Subspace Clustering

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