A Vector Field Visualization Technique for Self-organizing Maps

نویسندگان

  • Georg Pölzlbauer
  • Andreas Rauber
  • Michael Dittenbach
چکیده

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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تاریخ انتشار 2005