Combination of Self Organizing Maps and Growing Neural Gas - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Combination of Self Organizing Maps and Growing Neural Gas

Résumé

The paper deals with the high dimensional data clustering problem. One possible way to cluster this kind of data is based on Artificial Neural Networks (ANN) such as Growing Neural Gas (GNG) or Self Organizing Maps (SOM). The learning phase of ANN, which is time-consuming especially for large high-dimensional datasets, is the main drawback of this approach to data clustering. Parallel modification, Growing Neural Gas with pre-processing by Self Organizing Maps, and its implementation on the HPC cluster is presented in the paper. Some experimental results are also presented.
Fichier principal
Vignette du fichier
978-3-662-45237-0_11_Chapter.pdf (930.21 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01405567 , version 1 (30-11-2016)

Licence

Identifiants

Citer

Lukáš Vojáček, Pavla Dráždilová, Jiří Dvorský. Combination of Self Organizing Maps and Growing Neural Gas. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.100-111, ⟨10.1007/978-3-662-45237-0_11⟩. ⟨hal-01405567⟩
76 Consultations
199 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More