Abonnement à la biblothèque: Guest
Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Objective Cluster Analysis of Data Based on GMDH

Volume 40, Numéro 4, 2008, pp. 28-48
DOI: 10.1615/JAutomatInfScien.v40.i4.30
Get accessGet access

RÉSUMÉ

We consider the problem of objective cluster analysis of data on the basis of self-organization of clusterization according to GMDH principles. Common approach for classification of selection methods of informative features and search of the best clusterization were suggested. We consider new external criteria of clusterization quality estimation and measures of clusterization similarity. We developed the algorithm for objective cluster analysis of time-spatial data.

CITÉ PAR
  1. Teng Geer, He Changzheng, Xiao Jin, He Yue, Zhu Bing, Jiang Xiaoyi, Cluster ensemble framework based on the group method of data handling, Applied Soft Computing, 43, 2016. Crossref

  2. Babichev S., Lytvynenko V., Osypenko V., Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2017. Crossref

Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections Prix et politiques d'abonnement Begell House Contactez-nous Language English 中文 Русский Português German French Spain