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[CP10a] On Finding Complementary Clusterings
Conférence Internationale avec comité de lecture : ESANN 2010, European Symposium on Artificial Neural Networks, Bruges, Belgique, January 2010, pp.487-492,Mots clés: information theory, mutual information, clustering, complementary clustering, data mining, multimedia content mining
Résumé:
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.
Equipe:
vertigo
BibTeX
| @inproceedings { | |||
| CP10a, | |||
| title | = | "{On Finding Complementary Clusterings}", | |
| author | = | " M. Crucianu and T. Proscholdt ", | |
| booktitle | = | "{ESANN 2010, European Symposium on Artificial Neural Networks, Bruges, Belgique}", | |
| year | = | 2010, | |
| month | = | "January", | |
| pages | = | "487-492", | |
| } | |||
