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A Vector Field Visualization Technique for Self-organizing Maps

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Advances in Knowledge Discovery and Data Mining (PAKDD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3518))

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Abstract

The Self-Organizing Map is one of most prominent tools for the analysis and visualization of high-dimensional data. We propose a novel visualization technique for Self-Organizing Maps which can be displayed either as a vector field where arrows point to cluster centers, or as a plot that stresses cluster borders. A parameter is provided that allows for visualization of the cluster structure at different levels of detail. Furthermore, we present a number of experimental results using standard data mining benchmark data.

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Author information

Authors and Affiliations

  1. Department of Software Technology, Vienna University of Technology, Favoritenstr. 11-13, Vienna, Austria

    Georg Pölzlbauer & Andreas Rauber

  2. eCommerce Competence Center – ec3, Donau-City-Str. 1, Vienna, Austria

    Michael Dittenbach

Authors
  1. Georg Pölzlbauer
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  2. Andreas Rauber
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  3. Michael Dittenbach
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Editor information

Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Asahidai 1-1, 923-12292, Nomi, Japan

    Tu Bao Ho

  2. University of Hong Kong, Pokfulam Road, Hong Kong, China

    David Cheung

  3. Department of Computer Science and Engineering, Arizona State University, Tempe, Arizona, USA

    Huan Liu

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© 2005 Springer-Verlag Berlin Heidelberg

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Pölzlbauer, G., Rauber, A., Dittenbach, M. (2005). A Vector Field Visualization Technique for Self-organizing Maps. In: Ho, T.B., Cheung, D., Liu, H. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2005. Lecture Notes in Computer Science(), vol 3518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11430919_47

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  • DOI: https://doi.org/10.1007/11430919_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26076-9

  • Online ISBN: 978-3-540-31935-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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