Fast Algorithms for Projected Clustering
Summary: Projected clustering in high-dimensional data: clusters live in cluster-specific subspaces instead of a single global feature set. Introduces a general algorithmic framework to discover these subspaces and assign points accordingly, with evaluation on synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Charu C. Aggarwal (IBM)
- 2. Cecilia Procopiuc (Duke University)
- 3. Joel L. Wolf (IBM)
- 4. Philip S. Yu (IBM)
- 5. Jong Soo Park (Sungshin Women's University)
BibTeX Citation
@inproceedings{aggarwal_sigmod99,
title = {{Fast Algorithms for Projected Clustering}},
author = {Aggarwal, Charu C. and Procopiuc, Cecilia and Wolf, Joel L. and Yu, Philip S. and Park, Jong Soo},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304188},
url = {https://dl.acm.org/doi/10.1145/304182.304188},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 32 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00049737458 |
| 94 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00034579889 |
| 308 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00021473921 |
| 363 | CURE: An Efficient Clustering Algorithm for Large Databases | 1998 | SIGMOD | 0.00019987463 |
| 1,157 | A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space | 1997 | PODS | 0.00011774968 |
| 1,749 | Clustering Categorical Data: An Approach Based on Dynamical Systems | 1998 | VLDB | 9.7329666e-05 |
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