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Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036

DOI: http://dx.doi.org/10.17759/exppsy

License: CC BY-NC 4.0

Started in 2008

Published quarterly

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Application of methods of cluster analysis to data processing in psychological studies 4029

Savchenko T.N., PhD in Psychology, leading researcher of the Laboratory of psychology of cognitive processes and mathematical psychology, Institute of Psychology of Russian Academy of Sciences, Moscow, Russia, t.n.savchenko@mail.ru
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.

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

Column: Mathematical Methods

For Reference

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