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An Experimental Study on Asymmetric Self-Organizing Map

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Intelligent Data Engineering and Automated Learning - IDEAL 2011 (IDEAL 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6936))

Abstract

The paper presents an extension of the justification for use of the asymmetric Self-Organizing Map (SOM). We claim that it can successfully applied in the wider area of research than the textual data analysis. The results of our experimental study in the fields of sound recognition and heart rhythm recognition confirm this claim, and report the superiority of the asymmetric approach over the symmetric one, in both parts of our experiments.

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References

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Warsaw University of Technology, Poland

    Dominik Olszewski

Authors
  1. Dominik Olszewski
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Manchester, Sackville Street Building, M60 1QD, Manchester, UK

    Hujun Yin

  2. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, UK

    Wenjia Wang

  3. University of East Anglia, NR4 7TJ, Norwich, UK

    Victor Rayward-Smith

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© 2011 Springer-Verlag Berlin Heidelberg

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Olszewski, D. (2011). An Experimental Study on Asymmetric Self-Organizing Map. In: Yin, H., Wang, W., Rayward-Smith, V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011. Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23878-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-23878-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23877-2

  • Online ISBN: 978-3-642-23878-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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