SOM-based data visualization methods
Intelligent Data Analysis, 3 (2):
111--126 (1999)DOI: http://dx.doi.org/10.1016/S1088-467X(99)00013-X
Abstract
The self-organizing map (SOM) is an efficient tool for
visualization of multidimensional numerical data. In
this paper, an overview and categorization of both old
and new methods for the visualization of \SOM\ is
presented. The purpose is to give an idea of what kind
of information can be acquired from different
presentations and how the \SOM\ can best be utilized
in exploratory data visualization. Most of the
presented methods can also be applied in the more
general case of first making a vector quantization
(e.g. k-means) and then a vector projection (e.g.
Sammon's mapping).
