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Fuzzy Clustering Finding Prototypes on Classes Boundary

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Computer Recognition Systems 4

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 95))

Abstract

In the presented paper, new clustering method based on minimization of a criterion function is proposed. Its goal is to find prototypes placed near the classes boundary. The proposed method may be useful in applications to classification algorithms. The clustering performance was examined using the Ripley dataset, and the results seem to be encouraging.

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Author information

Authors and Affiliations

  1. Institute of Electronics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Michal Jezewski & Jacek Leski

Authors
  1. Michal Jezewski
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  2. Jacek Leski
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Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Robert Burduk , Marek Kurzyński  & Andrzej Żołnierek ,  & 

  2. Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

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© 2011 Springer-Verlag Berlin Heidelberg

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Jezewski, M., Leski, J. (2011). Fuzzy Clustering Finding Prototypes on Classes Boundary. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-20320-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20319-0

  • Online ISBN: 978-3-642-20320-6

  • eBook Packages: EngineeringEngineering (R0)

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