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  • Similarity resp. dissimilarity of objects is a basic principle of cluster analysis. Similarity (dissimilarity) can be determined by degree of distance, degree of correlation and degree of association. This paper describes the method of determining the metrics, which are the most common degree of similarity used in the cluster analysis. Procedure for determining the metrics are exemplified.
  • Similarity resp. dissimilarity of objects is a basic principle of cluster analysis. Similarity (dissimilarity) can be determined by degree of distance, degree of correlation and degree of association. This paper describes the method of determining the metrics, which are the most common degree of similarity used in the cluster analysis. Procedure for determining the metrics are exemplified. (en)
Title
  • Example for Determining of Metrics (Degree of Dissimilarity) of Objects Cluster Analysis
  • Example for Determining of Metrics (Degree of Dissimilarity) of Objects Cluster Analysis (en)
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  • Example for Determining of Metrics (Degree of Dissimilarity) of Objects Cluster Analysis
  • Example for Determining of Metrics (Degree of Dissimilarity) of Objects Cluster Analysis (en)
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  • RIV/49777513:23210/13:43920919!RIV15-MSM-23210___
http://linked.open...avai/riv/aktivita
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  • S
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  • 73872
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  • RIV/49777513:23210/13:43920919
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  • Analysis; Cluster; Objects; Dissimilarity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [886157C66EB7]
http://linked.open...v/mistoKonaniAkce
  • Shanghai, China
http://linked.open...i/riv/mistoVydani
  • Shanghai
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  • 2013 International Conference on Frontiers of Energy, Environmental Materials and Civil Engineering (FEEMCE 2013)
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http://linked.open...UplatneniVysledku
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  • Poór, Peter
  • Halčinová, Jana
  • Trebuňa, Peter
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • DEStech Publications
https://schema.org/isbn
  • 978-1-60595-142-3
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  • 23210
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