Ensemble clustering in the belief functions framework - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Approximate Reasoning Année : 2011

Ensemble clustering in the belief functions framework

Résumé

In this paper, belief functions, defined on the lattice of intervals partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. We first show how to represent clustering results as masses of evidence allocated to sets of partitions. Then a consensus belief function is obtained using a suitable combination rule. Tools for synthesizing the results are also proposed. The approach is illustrated using synthetic and real data sets.
Fichier principal
Vignette du fichier
BeliefEnsemble_Final.pdf (705.79 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00651375 , version 1 (13-12-2011)

Identifiants

Citer

Marie-Hélène Masson, Thierry Denoeux. Ensemble clustering in the belief functions framework. International Journal of Approximate Reasoning, 2011, 52 (1), pp.92-109. ⟨10.1016/j.ijar.2010.04.007⟩. ⟨hal-00651375⟩
126 Consultations
168 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More