CURE: An Efficient Clustering Algorithm for Large Databases
Summary: CURE: robust to outliers, it discovers non-spherical, variably sized clusters using multiple dispersed points per cluster shrunk toward the center. Scales to large data via sampling and partitioning with a two-pass refinement, outperforming prior methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sudipto Guha (Stanford University)
- 2. Rajeev Rastogi (AT&T)
- 3. Kyuseok Shim (AT&T)
BibTeX Citation
@inproceedings{guha_sigmod98,
title = {{CURE: An Efficient Clustering Algorithm for Large Databases}},
author = {Guha, Sudipto and Rastogi, Rajeev and Shim, Kyuseok},
series = {{SIGMOD} '98},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/276304.276312},
url = {https://dl.acm.org/doi/10.1145/276304.276312},
year = {1998}
}
Incoming Citations (Sorted by Pagerank)
Showing 34 of 34 citing papers.
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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 |
|---|---|---|---|---|
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.001157935 |
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 42 | The R+-Tree: A Dynamic Multi-Dimensional Index for Objects | 1987 | VLDB | 0.00046170812 |
| 88 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00035240327 |
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