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Improved Clustering by Rotation of Cluster Centres

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Adaptive and Natural Computing Algorithms

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Abstract

In this paper we present a method that leads to the improvement of a subtractive clustering model by modifying the centres. In order to keep within certain bounds, a centre is modified by rotating it.

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6 References

  1. Chiu, S. (1994) Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent and Fuzzy systems, Vol. 2, No. 3.

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  2. Dray, G., Peton, N. and Pearson, D.W. (1998) Centre Influence Modification in Subtractive Clustering. Control98, Coimbra, Portugal.

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  3. Isidori, A. (1995) Nonlinear Control Systems. Springer-Verlag.

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  4. Wonham W.M. (1979) Linear Multivariable Control: a Geometric Approach, Springer-Verlag.

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  5. ”UCI machine learning repository” http://www.ics.uci.edu/mlearn/MLRepository.html

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Author information

Authors and Affiliations

  1. EURISE, Jean Monnet University of Saint-Etienne, Saint-Etienne, France

    D. W. Pearson

  2. Centre SITE, Ecole des Mines de Saint-Etienne, Saint-Etienne, France

    M. Batton-Hubert

Authors
  1. D. W. Pearson
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  2. M. Batton-Hubert
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Bernardete Ribeiro

  2. Institut für Informatik, Universität Innsbruck, Innsbruck, Austria

    Rudolf F. Albrecht

  3. Fakulteta za Računalništvo in Informatiko, Univerza v Ljubljani, Ljubljana, Slovenia

    Andrej Dobnikar

  4. Equipe Universitaire de Recherche en Informatique de Saint-Etienne (Groupe de Recherche de Roanne) Institut Universitaire de Technologie de Roanne, Université Jean Monnet, Saint-Etienne, France

    David W. Pearson

  5. Division of Mathematics School of Mathematical and Information Sciences, Coventry University, Coventry, UK

    Nigel C. Steele

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© 2005 Springer-Verlag/Wien

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Pearson, D.W., Batton-Hubert, M. (2005). Improved Clustering by Rotation of Cluster Centres. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_33

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  • DOI: https://doi.org/10.1007/3-211-27389-1_33

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-24934-5

  • Online ISBN: 978-3-211-27389-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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