Quantization based clustering: an iterative approach - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2020

Quantization based clustering: an iterative approach

Thomas Laloë

Résumé

In this paper we propose a simple new algorithm to perform clustering, based on the Alter algorithm proposed in [5] but lowering signicantly the algorithmic complexity with respect to the number of clusters. An empirical study states the relevance of our iterative process and a confrontation on simulated multivariate and functional data shows the benets of our algorithm.
Fichier principal
Vignette du fichier
Article_Iter_hal.pdf (571.52 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02490120 , version 1 (24-02-2020)

Identifiants

  • HAL Id : hal-02490120 , version 1

Citer

Thomas Laloë. Quantization based clustering: an iterative approach. 2020. ⟨hal-02490120⟩
52 Consultations
190 Téléchargements

Partager

Gmail Facebook X LinkedIn More