Approximation Algorithms for Co-Clustering

Summary: First provable approximation algorithms for co-clustering: simple algorithms achieving constant-factor approximations for simultaneous row/column partitioning of matrices. Also prove co-clustering NP-hard, moving the problem from heuristics to rigorous algorithmic footing. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 1459
Venue: PODS
Year: 2008
Pagerank: 5.2755515e-05
Overall Rank: 9,402 | 35.50%
DOI: 10.1145/1376916.1376945

Incoming Non-self Citations Over Time

Authors

1. Aris Anagnostopoulos (Yahoo)
2. Anirban Dasgupta (Yahoo)
3. Ravi Kumar (Yahoo)

BibTeX Citation

@inproceedings{anagnostopoulos_pods08,
        address = {New York, NY, USA},
        series = {{PODS} '08},
        title = {{Approximation Algorithms for Co-Clustering}},
        url = {https://dl.acm.org/doi/10.1145/1376916.1376945},
        doi = {10.1145/1376916.1376945},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Anagnostopoulos, Aris and Dasgupta, Anirban and Kumar, Ravi},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,371	Effective Data Co-Reduction for Multimedia Similarity Search	2011	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
6,110	Clustering via Matrix Powering	2004	PODS	5.9728946e-05
13,810	Programmable Clustering	2006	PODS	-

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