SOM_PAK: The Self-Organizing Map Program Package

The Self-Organizing Map (SOM) represents the result of a vector quantization algorithm that places a number of reference or code-book vectors into a high-dimensional input data space to approximate to its data sets in an ordered fashion. The SOM PAK program package contains all programs necessary for the correct application of the Self-Organizing Map algorithm in the visualization of complex experimental data. The rst version 1.0 of this program package was published in 1992 and since then the package has been updated regularly to include latest improvements in the SOM implementations. This report that contains the last documentation was prepared for bibliographical purposes.

[1]  Samuel Kaski,et al.  Structures of Welfare and Poverty in the World Discovered by the Self-Organizing Map , 1995 .

[2]  S. P. Luttrell,et al.  Self-organisation: a derivation from first principles of a class of learning algorithms , 1989, International 1989 Joint Conference on Neural Networks.

[3]  Tariq Samad,et al.  Self–organization with partial data , 1992 .

[4]  K. Schulten,et al.  Kohonen's self-organizing maps: exploring their computational capabilities , 1988, IEEE 1988 International Conference on Neural Networks.

[5]  Alfred Ultsch,et al.  Self Organized Feature Maps for Monitoring and Knowledge Aquisition of a Chemical Process , 1993 .

[6]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[7]  Anil K. Jain,et al.  A non-linear projection method based on Kohonen's topology preserving maps , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[8]  John W. Sammon,et al.  A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.

[9]  Teuvo Kohonen,et al.  The self-organizing map , 1990, Neurocomputing.