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LVQ_PAK and SOM_PAK: Classification of data using self-organizing memory networks.

LVQ_PAK (Learning Vector Quantization) and SOM_PAK (Self-Organizing Maps) are programs for classification of data using self-organizing memory networks. SOM is better suited to visualization of complex data; LVQ is more appropriate for classification tasks. Also included is a comprehensive BibTeX/PostScript bibliography of Kohonen Self-Organizing Maps and Learning Vector Quantization, with more than 1,000 entries, and the Xvisual program which is used with SOM_PAK.
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Version: LVQ_PAK 2.1 (9-OCT-91); SOM_PAK 1.2 (2-NOV-92) Requires: UNIX, MS-DOS Copying: Copyright (c) 1991-1992 May be used for scientific (non-commercial) purposes only. CD-ROM: Prime Time Freeware for AI, Issue 1-1 Author(s): Teuvo Kohonen, Jari Kangas, Jorma Laaksonen, Kari Torkkola LVQ/SOM Programming Team Helsinki University of Technology Laboratory of Computer and Information Science Rakentajanaukio 2 C SF-02150 Espoo, FINLAND Contact: Jari Kangas (Bibliography) (LVQ_PAK) (SOM_PAK) Keywords: Authors!Kangas, Authors!Kohonen, Authors!Laaksonen, Authors!Torkkola, Classification, Kohonen Self-Organizing Maps, LVQ, Machine Learning!Neural Networks, Neural Networks, Neural Networks!Classification, Neural Networks!Visualization, SOM, Self-Organizing, Vector Quantization, Visualization, Xvisual References: ?
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