Self-organizing map in Matlab: the SOM Toolbox 论文

摘要

The Self-Organizing Map (SOM) is a vector quantization method which places the prototype vectors on a regular low-dimensional grid in an ordered fashion. This makes the SOM a powerful visualization tool. The SOM Toolbox is an implementation of the SOM and its visualization in the Matlab 5 computing environment. In this article, the SOM Toolbox and its usage are shortly presented. Also its performance in terms of computational load is evaluated and compared to a corresponding C-program. 1. General This article presents the (second version of the) SOM Toolbox, hereafter simply called the Toolbox, for Matlab 5 computing environment by MathWorks, Inc. The SOM acronym stands for Self-Organizing Map (also called Self-Organizing Feature Map or Kohonen map), a popular neural network based on unsupervised learning [1]. The Toolbox contains functions for creation, visualization and analysis of Self-Organizing Maps. The Toolbox is available free of charge under the GNU General Public License from