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Special Cluster Analysis and Basic Feature Estimation with a Modification of Self-Organizing Map

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

The paper describes a proposed method of modification of self-organizing map and its application to special cluster analysis (delivering the information about selected essential feature, which values derive from an ordered set) and also to estimation of the selected (basic) feature for newly occurring patterns. The utilization of this technique in the issue of real estate appraisal has been described. The visualizations of a cluster map, selected estimation maps and numerical results for this problem have been presented.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Cracow University of Economics, Rakowicka 27, 31-510, Cracow, Poland

    Janusz Morajda

Authors
  1. Janusz Morajda
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Morajda, J. (2004). Special Cluster Analysis and Basic Feature Estimation with a Modification of Self-Organizing Map. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_98

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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