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LVQ-PAK:

Name

LVQ-PAK: The Learning Vector Quantization Program Package, Version 2.1 (October 9, 1992)

Source

LVQ Programming Team of the Helsinki University of Technology, Laboratory of Computer and Information Science, Rakentajanaukio 2 C, SF-02150 Espoo, FINLAND

Price

Public-domain

Target usage

research

Model

Network Architecture

Paradigms

In short, LVQ is a group of methods applicable to statistical pattern recognition, in which the classes are described by a relatively small number of codebook vectors, properly placed within each class zone such that the decision borders are approximated by the nearest-neighbor rule. Unlike in normal k-nearest-neighbor (k-nn) classification, the original samples are not used as codebook vectors, but they tune the latter. LVQ is concerned with the optimal placement of these codebook vectors into class zones.

Limitations

Implementation

Display

User Interface

Execution

Data Format

Evaluation

Performance

System Requirements

Hardware

Operating System

Display

Language

Installation and Documentation

Installation

In the implementation of the LVQ programs we have tried to use as simple code as possible. Therefore the programs are supposed to compile in various machines without any specific modifications made on the code. All programs have been written in ANSI C. The programs are available in two archive formats, one for the UNIX-environment, the other for MS-DOS. Both archives contain exactly the same files.

Sources available

This package contains all the programs necessary for the correct application of certain LVQ algorithms in an arbitrary statistical classification or pattern recognition task. To this package three options for the algorithms, the LVQ1, the LVQ2.1 and the LVQ3, have been selected.

Implementation language

Documentation

Support

User Groups