Belief Hierarchical Clustering - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Belief Hierarchical Clustering

Résumé

In the data mining field many clustering methods have been proposed, yet standard versions do not take into account uncertain databases. This paper deals with a new approach to cluster uncertain data by using a hierarchical clustering defined within the belief function framework. The main objective of the belief hierarchical clustering is to allow an object to belong to one or several clusters. To each belonging, a degree of belief is associated, and clusters are combined based on the pignistic properties. Experiments with real uncertain data show that our proposed method can be considered as a propitious tool.
Fichier principal
Vignette du fichier
BHC.pdf (557.64 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01102028 , version 1 (11-01-2015)

Identifiants

Citer

Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi. Belief Hierarchical Clustering. 3rd International Conference on Belief Functions, Sep 2014, Oxford, United Kingdom. pp.68 - 76, ⟨10.1007/978-3-319-11191-9_8⟩. ⟨hal-01102028⟩
326 Consultations
345 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More