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On Perturbation Measure of Clusters: Application

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Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7895))

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Abstract

In this paper we developed a new methodology for grouping objects described by nominal attributes. We introduced a measure of perturbation of one cluster by another cluster in order to create a junction of clusters. The developed method is hierarchical and agglomerative and can be characterized both by high speed of computation as well as surprising good accuracy of clustering. keywords cluster analysis, nominal attributes, sets theory.

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Newelska 6, Warsaw, Poland

    Maciej Krawczak & Grażyna Szkatuła

  2. Warsaw School of Information Technology, Newelska 6, Warsaw, Poland

    Maciej Krawczak

Authors
  1. Maciej Krawczak
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  2. Grażyna Szkatuła
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Krawczak, M., Szkatuła, G. (2013). On Perturbation Measure of Clusters: Application. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_17

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  • DOI: https://doi.org/10.1007/978-3-642-38610-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38609-1

  • Online ISBN: 978-3-642-38610-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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