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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i4.30
pages 28-48

Objective Cluster Analysis of Data Based on GMDH

Lyudmila V. Sarycheva
National Mining University, Dnepropetrovsk, Ukraine

RESUMO

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.