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Application of methods of cluster analysis to data processing in psychological studies 4245
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, email@example.com
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