An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

Publié en ligne: 26 mars 2024

Pages: 149 - 165

Reçu: 01 juin 2023

Accepté: 24 sept. 2023

DOI: https://doi.org/10.61822/amcs-2024-0011

Mots clés

incremental learning, data classification, vector quantization, adaptive resonance theory, classification performance

© 2024 Sylwester Czmil et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.