A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps

  • Julia Moehrmann
  • Andre Burkovski
  • Evgeny Baranovskiy
  • Geoffrey-Alexeij Heinze
  • Andrej Rapoport
  • Gunther Heidemann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6731)

Abstract

In recent years, a variety of visualization techniques for visual data exploration based on self-organizing maps (SOMs) have been developed. To support users in data exploration tasks, a series of software tools emerged which integrate various visualizations. However, the focus of most research was the development of visualizations which improve the support in cluster identification. In order to provide real insight into the data set it is crucial that users have the possibility of interactively investigating the data set. This work provides an overview of state-of-the-art software tools for SOM-based visual data exploration. We discuss the functionality of software for specialized data sets, as well as for arbitrary data sets with a focus on interactive data exploration.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Julia Moehrmann
    • 1
  • Andre Burkovski
    • 1
  • Evgeny Baranovskiy
    • 1
  • Geoffrey-Alexeij Heinze
    • 1
  • Andrej Rapoport
    • 1
  • Gunther Heidemann
    • 1
  1. 1.Intelligent Systems GroupUniversity of StuttgartStuttgartGermany

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