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Conference Papers Year : 2013

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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Dates and versions

hal-00916906 , version 1 (10-12-2013)

Identifiers

  • HAL Id : hal-00916906 , version 1

Cite

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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