An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory

DOI10.61822/amcs-2024-0011zbMATH Open1542.68186MaRDI QIDQ6567111

Anna Czmil, Sylwester Czmil, Jacek Kluska

Publication date: 4 July 2024

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

zbMATH Keywords

vector quantizationincremental learningdata classificationadaptive resonance theoryclassification performance

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Cites Work

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