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Partitioning Methods On Dissimilarity Matrices Set

Abstract : We introduce partitioning clustering models and algorithms that are able to partitioning objects taking into account simultaneously their relational descriptions given by multiple dissimilarity matrices. The aim is to obtain a collaborative role of the different dissimilarity matrices in order to obtain a final consensus partition.
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https://hal.inria.fr/hal-00916906
Contributor : Yves Lechevallier Connect in order to contact the contributor
Submitted on : Tuesday, December 10, 2013 - 9:44:33 PM
Last modification on : Thursday, February 3, 2022 - 11:16:50 AM
Long-term archiving on: : Tuesday, March 11, 2014 - 4:50:10 PM

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  • HAL Id : hal-00916906, version 1

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Francisco F. A.T. de Carvalho, Yves Lechevallier. Partitioning Methods On Dissimilarity Matrices Set. European Conference on Data Analysis, GfKl and SFC, Jul 2013, Luxembourg, Luxembourg. ⟨hal-00916906⟩

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