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On Finding Complementary Clusterings

Abstract : In many cases, a dataset can be clustered following several criteria that complement each other: group membership following one criterion provides little or no information regarding group membership following the other criterion. When these criteria are not known a priori, they have to be determined from the data. We put forward one method for simultaneously finding the complementary criteria and the clustering corresponding to each criterion.
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Contributor : Laboratoire Cedric <>
Submitted on : Friday, March 6, 2015 - 11:25:19 AM
Last modification on : Monday, September 7, 2020 - 12:10:03 PM


  • HAL Id : hal-01125732, version 1



Michel Crucianu, Timo Proscholdt. On Finding Complementary Clusterings. ESANN 2010, European Symposium on Artificial Neural Networks, Bruges, Belgique, Jan 2010, X, France. pp.487-492. ⟨hal-01125732⟩



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