RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning
Summary: RP-DBSCAN uses pseudo random, cell-based partitioning to balance load in parallel DBSCAN on skewed data. Compact two-level cell dictionary enables local clustering with light cross-partition merge on Spark, yielding up to 180x speedup. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hwanjun Song (Korea Advanced Institute of Science and Technology)
- 2. Jae-Gil Lee (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@inproceedings{song_sigmod18,
title = {{RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning}},
author = {Song, Hwanjun and Lee, Jae-Gil},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196887},
url = {https://dl.acm.org/doi/10.1145/3183713.3196887},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,421 | Theoretically-Efficient and Practical Parallel DBSCAN | 2020 | SIGMOD | 6.1355031e-05 |
| 5,613 | DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows | 2022 | SIGMOD | 6.0654968e-05 |
| 8,246 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD | 5.3680406e-05 |
| 11,708 | Fast Density-Based Clustering: Geometric Approach | 2023 | SIGMOD | 4.9769913e-05 |
| 11,845 | The Gibbs–Rand Model | 2022 | PODS | 4.9769913e-05 |
| 11,977 | Fast Density-Peaks Clustering: Multicore-based Parallelization Approach | 2021 | SIGMOD | 4.9769913e-05 |
| 11,988 | Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering* | 2021 | SIGMOD | 4.9769913e-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 |
|---|---|---|---|---|
| 300 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00021800242 |
| 986 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012663024 |
| 2,612 | NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data | 2017 | VLDB | 8.2237609e-05 |
| 3,060 | Dynamic Density Based Clustering | 2017 | SIGMOD | 7.6928918e-05 |
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