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SOM (Self-Organizing Map) represents the result of a vector quantization algorithm that places a number of reference or codebook 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 SOM algorighm in the visualization of complex experimental data.

LVQ (Learning Vector Quantization) is a group of algorithms applicable to statistical pattern recognition, in which the classes are described by a relatively small number of codebook vectors, properly placed within each zone such that the decision borders are approximated by the nearest-neighbor rule. The LVQ_PACK program package contains all programs necessary for the correct application of certain LVQ algorithms in an arbitrary statistical classification or pattern recognition task, as well as a program for the monitoring of the codebook vectors at any time during the learning process.

Current Version:   3.1

License Type:   Free for Scientific Research Purpose

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ANSI C Compiler

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