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)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode (AT&T)
- 2. Andrew McGregor (University of California San Diego)
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)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,049 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB | 0.00012415522 |
| 3,483 | Consensus Answers for Queries over Probabilistic Databases | 2009 | PODS | 7.372823e-05 |
| 6,812 | Exceeding Expectations and Clustering Uncertain Data | 2009 | PODS | 5.7657129e-05 |
| 6,974 | Uncertain Centroid based Partitional Clustering of Uncertain Data | 2012 | VLDB | 5.7303405e-05 |
| 8,741 | Improvements on the k-center Problem for Uncertain Data | 2018 | PODS | 5.3766157e-05 |
| 9,281 | Sage: A System for Uncertain Network Analysis | 2022 | VLDB | 5.2933125e-05 |
| 12,505 | Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) | 2009 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
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 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,314 | Optimal Differentially Private Algorithms for k-Means Clustering | 2018 | PODS |
| 2 | 11,143 | k-Clustering with Comparison and Distance Oracles | 2024 | PODS |
| 3 | 1,605 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 4 | 10,176 | Clustering with Set Outliers and Applications in Relational Clustering | 2026 | PODS |
| 5 | 11,144 | Improved Approximation Algorithms for Relational Clustering | 2024 | PODS |
| 6 | 6,345 | Clustering Uncertain Graphs | 2018 | VLDB |
| 7 | 3,559 | Efficient and Effective Algorithms for Clustering Uncertain Graphs | 2019 | VLDB |
| 8 | 8,741 | Improvements on the k-center Problem for Uncertain Data | 2018 | PODS |
| 9 | 6,812 | Exceeding Expectations and Clustering Uncertain Data | 2009 | PODS |
| 10 | 6,974 | Uncertain Centroid based Partitional Clustering of Uncertain Data | 2012 | VLDB |