Efficient vector quantization using the WTA-rule with activity equalization

DOI10.1023/A:1009678928250zbMath1008.68716OpenAlexW2158150422MaRDI QIDQ1857458

Gunther Heidemann, Helge J. Ritter

Publication date: 19 February 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1009678928250

zbMATH Keywords

clusteringcompetitive learningunsupervised learningvector quantizationneural gaswinner takes allcodebook generation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

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