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|a (NLM)17108392
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a Pavan, Massimiliano
|e verfasserin
|4 aut
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|a Dominant sets and pairwise clustering
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|c 2007
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 30.01.2007
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|a Date Revised 10.11.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We develop a new graph-theoretic approach for pairwise data clustering which is motivated by the analogies between the intuitive concept of a cluster and that of a dominant set of vertices, a notion introduced here which generalizes that of a maximal complete subgraph to edge-weighted graphs. We establish a correspondence between dominant sets and the extrema of a quadratic form over the standard simplex, thereby allowing the use of straightforward and easily implementable continuous optimization techniques from evolutionary game theory. Numerical examples on various point-set and image segmentation problems confirm the potential of the proposed approach
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|a Journal Article
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|a Pelillo, Marcello
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 29(2007), 1 vom: 16. Jan., Seite 167-72
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:29
|g year:2007
|g number:1
|g day:16
|g month:01
|g pages:167-72
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|d 29
|j 2007
|e 1
|b 16
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|h 167-72
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