Title :
LVQPAK: A software package for the correct application of Learning Vector Quantization algorithms
Author :
Kohonen, Teuvo ; Kangas, Jari ; Laaksonen, Jorma ; Torkkola, Kari
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
An overview of the software package LVQPAK, which has been developed for convenient and effective application of learning vector quantization algorithms, is presented. Two new features are included: fast conflict-free initial distribution of codebook vectors into the class zones and the optimized-learning-rate algorithm OLVQ1
Keywords :
learning (artificial intelligence); software packages; vector quantisation; LVQPAK; Learning Vector Quantization algorithms; codebook vectors; correct application; fast conflict-free initial distribution; optimized-learning-rate algorithm OLVQ1; overview; software package; Application software; Information science; Laboratories; Packaging; Pattern recognition; Personal communication networks; Software algorithms; Software packages; Stochastic processes; Vector quantization;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.287101
