The DOI matches its Crossref record.
On clusterings: Good, bad and spectral
Abstract
We motivate and develop a natural bicriteria measure for assessing the quality of a clustering that avoids the drawbacks of existing measures. A simple recursive heuristic is shown to have poly-logarithmic worst-case guarantees under the new measure. The main result of the article is the analysis of a popular spectral algorithm. One variant of spectral clustering turns out to have effective worst-case guarantees; another finds a "good" clustering, if one exists.
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Citations
Cited by
Schaeffer, S. E. (2007) · Computer Science Review · doi:10.1016/j.cosrev.2007.05.001 · Cited by 1,639
Local Graph Partitioning using PageRank Vectors
Andersen, R., Chung, F., & Lang, K. (2006) · 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06) · doi:10.1109/focs.2006.44 · Cited by 967
You are who you know: inferring user profiles in online social networks
Mislove, A., Viswanath, B., Gummadi, K. P., & Druschel, P. (2010) · Proceedings of the third ACM international conference on Web search and data mining · doi:10.1145/1718487.1718519 · Cited by 668
Spielman, D. A., & Teng, S.-H. (2013) · SIAM Journal on Computing · doi:10.1137/080744888 · Cited by 316
Filtering spam with behavioral blacklisting
Ramachandran, A., Feamster, N., & Vempala, S. (2007) · Proceedings of the 14th ACM conference on Computer and communications security · doi:10.1145/1315245.1315288 · Cited by 264
Self-citation
Metadata
- Authors
- Kannan, R., Vempala, S., & Vetta, A.
- Venue
- Journal of the ACM
- Published
- 2004-05
- Volume
- 51
- Issue
- 3
- Pages
- 497-515
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2034331023
- Cited by
- 834
- References
- 0
- FWCI
- 34.57
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.