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

Data publikacji: 26 mar 2024

Zakres stron: 149 - 165

Otrzymano: 01 cze 2023

Przyjęty: 24 wrz 2023

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

Słowa kluczowe

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.