SBSC: A fast Self-tuned Bipartite proximity graph-based Spectral Clustering
Summary: SBSC: self-tuned, parameter-free bipartite graph for spectral clustering with locality sparsification, selecting O(sqrt(N)) representatives. Bi-means/K-means pick reps in O(N log N); local neighbor search yields an O(N)-sized graph and O(N(K^2+log N)) clustering time, with faster, higher-quality results on large data. (summarized by gpt-5-nano on Feb 09 2026)
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| 5,319 | SCAR — Spectral Clustering Accelerated and Robustified | 2022 | VLDB | 6.3363428e-05 |
| 6,833 | A New Sparse Data Clustering Method Based On Frequent Items | 2023 | SIGMOD | 5.8190903e-05 |
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