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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Pölzlbauer, G., Rauber, A., & Dittenbach, M. (2005). A vector field visualization technique for self-organizing maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3518 LNAI, pp. 399–409). Springer Verlag. https://doi.org/10.1007/11430919_47
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