Cluster Analysis as a Tool of Interpretation of Complex Systems

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/3061 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3061 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/3061 archive 351 disk0/00/00/30/11 2016-01-15 01:58:08 2021-08-27 17:13:03 2016-01-15 01:58:08 monograph show 2 Miyamoto S. AL0273 Cluster Analysis as a Tool of Interpretation of Complex Systems pub iis_met iis_sys prog_sds This paper deals with several problems in cluster analysis. It appears that the suggested solutions have not been considered in current literature. First, the author proposes the use of a permuted matrix as a tool for interpretation of clusters generated by hierarchical agglomerative clustering algorithms. Second, a new method of defining similarity between a pair of clusters is shown. This method leads to a new class of hierarchical agglomerative clustering. Third, two criteria are defined to optimize dendrograms that are outputs of hierarchical clustering. This paper has been presented at the Task Force Seminar Session on New Advances in Decision Support Systems, Laxenburg, Austria, November 3-5, 1986. 1987-01 published WP-87-041 WP-87-041 10 2199 public working_paper IIASA, Laxenburg, Austria 26 FALSE info:eu-repo/semantics/book