CMU Artificial Intelligence Repository
LVQ_PAK and SOM_PAK: Classification of data using
self-organizing memory networks.
areas/neural/systems/som_lvq/
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.
Origin:
cochlea.hut.fi:/pub/lvq_pak/ [130.233.168.48]
cochlea.hut.fi:/pub/som_pak/
cochlea.hut.fi:/pub/ref/
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@cochlea.hut.fi (LVQ_PAK)
som@cochlea.hut.fi (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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