DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation
Summary: Revisits DBSCAN, debunking the KDD'96 O(n log n) claim; real worst-case is O(n^2), with a 2D fix yielding O(n log n) and a d≥3 Omega(n^(4/3)) lower bound. Proposes rho-approximate DBSCAN, achieving O(n) expected time in any dimension at bounded inaccuracy, suggesting it as the practical replacement for big data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Junhao Gan (Chinese University of Hong Kong)
- 2. Yufei Tao (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{gan_sigmod15,
title = {{DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation}},
author = {Gan, Junhao and Tao, Yufei},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2737792},
url = {https://dl.acm.org/doi/10.1145/2723372.2737792},
year = {2015}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 291 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00022264197 |
| 1,285 | STING: A Statistical Information Grid Approach to Spatial Data Mining | 1997 | VLDB | 0.00011321748 |
| 1,755 | Swarm: Mining Relaxed Temporal Moving Object Clusters | 2010 | VLDB | 9.8211863e-05 |
| 4,856 | Computing Clusters of Correlation Connected Objects | 2004 | SIGMOD | 6.4752952e-05 |
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