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Cited by 6,758

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Clustering by Passing Messages Between Data Points

Frey, Brendan J., Dueck, Delbert·2007·Science

Abstract

Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars” can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initial choice is close to a good solution. We devised a method called “affinity propagation,” which takes as input measures of similarity between pairs of data points. Real-valued messages are exchanged between data points until a high-quality set of exemplars and corresponding clusters gradually emerges. We used affinity propagation to cluster images of faces, detect genes in microarray data, identify representative sentences in this manuscript, and identify cities that are efficiently accessed by airline travel. Affinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time.

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Cites

Research works printed but not linked: 16

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  2. 10.1038/ng1630 · DOI
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  8. 10.1198/1061860043001 · DOI · Paper page
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  11. 10.1126/science.1086309 · DOI
  12. 10.1109/18.748992 · DOI · Paper page
  13. 10.1109/26.539767 · DOI · Paper page
  14. 10.1126/science.1073287 · DOI · Paper page
  15. B. J. Frey, R. Koetter, N. Petrovic, in Proc. 14th Conf. NIPS (MIT Press, Cambridge, MA, 2002), pp. 737–743.
  16. T. Meltzer, C. Yanover, Y. Weiss, in Proc. 10th Conf. ICCV (IEEE Computer Society Press, Los Alamitos, CA, 2005), pp. 428–435.

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Metadata

Authors
Frey, B. J., & Dueck, D.
Venue
Science
Published
2007-02-16
Volume
315
Issue
5814
Pages
972-976
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2165232124
Cited by
6,758
References
3
FWCI
232.85
Type
journal article
Language
en
Open access
closed

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