LVQ_PAK: The Learning Vector Quantization Program Package

Learning Vector Quantization (LVQ) 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 PAK program package contains all programs necessary for the correct application of certain Learning Vector Quantization algorithms in an arbitrary statistical classiication or pattern recognition task, as well as a program for the monitoring of the codebook vectors at any time during the learning process. The rst version 1.0 of this program package was published in 1991 and since then the package has been updated regularly to include latest improvements in the LVQ implementations. This report that contains the last documentation was prepared for bibliographical purposes.