LVQ PAK: The Learning Vector Quantization Program Package

摘要

Learning Vector Quantization (LVQ) is a group of algorithms applicable tostatistical 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-PAK program package contains all programs necessary for the correct application of certain Learning Vector Quantization 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. This report contains the last documentation was prepared for bibliographical purposes.