Experimental Psychology (Russia)
2010. Vol. 3, no. 2, 67–86
ISSN: 2072-7593 / 2311-7036 (online)
Application of methods of cluster analysis to data processing in psychological studies
Abstract
The author describes the general provisions of the basic characteristics and goals of cluster analysis, and also conducts a comparative analysis of the most used methods of cluster analysis. The article presents standard methods implemented in the most commonly used statistical packages, their development and improvement and describe original methods that are not realized in statistical packages.
General Information
Keywords: multivariate data analysis, classification, cluster, models of latent groups, hierarchical agglomeration method, metrics, dendrogram, strategy of unification, distance matrix, iterative procedure, dendrite, evaluation of bound, associative and chain clusters, luster-collection, method of latent classes
Journal rubric: Mathematical Psychology
Article type: scientific article
For citation: Savchenko T.N. Application of methods of cluster analysis to data processing in psychological studies. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2010. Vol. 3, no. 2, pp. 67–86. (In Russ., аbstr. in Engl.)
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