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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)

Paper ID
5068
Venue
SIGMOD
Year
2015
Pagerank
0.00012936472
Overall Rank
962 | 93.41%
DOI
10.1145/2723372.2737792

Incoming Non-self Citations Over Time

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
2,556 NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data 2017 VLDB 8.4162172e-05
3,020 Dynamic Density Based Clustering 2017 SIGMOD 7.8445412e-05
3,234 RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning 2018 SIGMOD 7.6144184e-05
5,020 Unsupervised Contextual Anomaly Detection for Database Systems 2022 SIGMOD 6.3987603e-05
5,335 Clustering Stream Data by Exploring the Evolution of Density Mountain 2018 VLDB 6.2618226e-05
5,483 DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows 2022 SIGMOD 6.2019677e-05
6,956 A New Sparse Data Clustering Method Based On Frequent Items 2023 SIGMOD 5.7303405e-05
7,500 Approximate DBSCAN under Differential Privacy 2025 SIGMOD 5.6029996e-05
7,862 ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms 2021 VLDB 5.5302333e-05
8,070 Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms 2024 SIGMOD 5.4938502e-05
8,390 Spade: A Real-Time Fraud Detection Framework on Evolving Graphs 2023 VLDB 5.4360143e-05
8,627 ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries 2025 VLDB 5.3969543e-05
10,195 Approximate DBSCAN via Density-Biased Sampling and Kernel Density Estimation 2026 SIGMOD 5.093636e-05
10,567 FB*: A Compact Index for Efficient and Exact Density-based Clustering 2026 VLDB 5.093636e-05
10,667 In-Database Time Series Clustering 2025 SIGMOD 5.093636e-05
11,253 Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization 2024 VLDB 5.093636e-05
11,387 Fast Density-Based Clustering: Geometric Approach 2023 SIGMOD 5.093636e-05
11,534 Faster and Better Solution to Embed Lp Metrics by Tree Metrics 2022 SIGMOD 5.093636e-05
11,664 Fast Density-Peaks Clustering: Multicore-based Parallelization Approach 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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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