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Approximation Algorithms for Clustering Uncertain Data

Summary: Defines assigned vs unassigned models for clustering uncertain points and reduces uncertain k-means/k-median to weighted deterministic instances. Gives first approximation algorithms for uncertain k-center: O(k/ε · log^2 n) centers for (1+ε) and 2k centers for constant-factor. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1458
Venue
PODS
Year
2008
Pagerank
8.8664016e-05
Overall Rank
2,253 | 84.55%
DOI
10.1145/1376916.1376944

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cormode_pods08,
        address = {New York, NY, USA},
        series = {{PODS} '08},
        title = {{Approximation Algorithms for Clustering Uncertain Data}},
        url = {https://dl.acm.org/doi/10.1145/1376916.1376944},
        doi = {10.1145/1376916.1376944},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Cormode, Graham and McGregor, Andrew},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
31 BIRCH: An Efficient Data Clustering Method for Very Large Databases 1996 SIGMOD 0.00050347119
78 ULDBs: Databases with Uncertainty and Lineage 2006 VLDB 0.00036571789
351 CURE: An Efficient Clustering Algorithm for Large Databases 1998 SIGMOD 0.00020424271
2,697 Sketching Probabilistic Data Streams 2007 SIGMOD 8.2451054e-05
2,988 Estimating Statistical Aggregates on Probabilistic Data Streams 2007 PODS 7.8907087e-05
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