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Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes

  • Conference paper
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 226))

Abstract

Classification is the primal problem in pattern recognition. The quadratic loss function is not good approximation of the misclassification error. In the presented paper a nonlinear extension of the IRLS classifier, which uses different loss functions, is proposed. The extension is done by means of fuzzy if-then rules. The fuzzy clustering with pairs of prototypes is applied to establish rules parameters values. Classification quality and computing time obtained for six benchmark databases is compared with the Lagrangian SVM method.

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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 M. Leski

  2. Institute of Medical Technology and Equipment, Silesian University of Technology, Roosevelt St. 118A, 41-800, Zabrze, Poland

    Jacek M. Leski

Authors
  1. Michal Jezewski
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  2. Jacek M. Leski
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Corresponding author

Correspondence to Michal Jezewski .

Editor information

Editors and Affiliations

  1. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Robert Burduk

  2. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Konrad Jackowski

  3. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Marek Kurzynski

  4. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Michał Wozniak

  5. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St, Wroclaw, 50-370, Poland

    Andrzej Zolnierek

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© 2013 Springer International Publishing Switzerland

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Jezewski, M., Leski, J.M. (2013). Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-00969-8_12

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00968-1

  • Online ISBN: 978-3-319-00969-8

  • eBook Packages: EngineeringEngineering (R0)

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