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  • 标题:Application of methods of cluster analysis to data processing in psychological studies
  • 本地全文:下载
  • 作者:Savchenko T.N.
  • 期刊名称:Experimental Psychology (Russia)
  • 印刷版ISSN:2072-7593
  • 电子版ISSN:2311-7036
  • 出版年度:2010
  • 卷号:3
  • 期号:2
  • 页码:67-86
  • 出版社:Moscow State University of Psychology and Education
  • 摘要: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.
  • 关键词: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
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