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Title: An agglomerative method for automatic forming of hierarchical classification (English)
Author: Fučík, Josef
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 20
Issue: 3
Year: 1975
Pages: 186-205
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: First some new concepts are introduced (extension of the similarity-function, similarity-measure, transitive sets) which facilitate the study of hierarchical classifications. Then an algorithm for forming hierarchical classifications with "good properties" is sketched. Finally, this procedure of classification is described in detail and represented by flowcharts. Theoretical justification of the method is given in Theorems 1 to 4 which show the connection between the properties of transitive sets and hierarchical classifications. Practical use of the method requires a concrete choice of the similarity-function as well as the data given in the corresponding form. ()
MSC: 62H30
MSC: 68A45
MSC: 68T10
MSC: 68W99
idZBL: Zbl 0322.68062
idMR: MR0413623
DOI: 10.21136/AM.1975.103583
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Date available: 2008-05-20T18:01:13Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103583
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Reference: [1] I. C. Lerman: Les bases de la classification automatique.Paris, 1970. Zbl 0199.51402, MR 0349079
Reference: [2] P. Macnaughton, Smith: Some statistical and other numerical techniques for classifying individuals.Home Office Research Unit Report, s 1 - 31. London, 1965.
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