Partitioning Methods On Dissimilarity Matrices Set - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
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.
Fichier principal
Vignette du fichier
SFC-DIST-V1.pdf (96.44 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

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⟩

Collections

INRIA INRIA2
125 View
46 Download

Share

Gmail Facebook X LinkedIn More