An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory
When constructing a new data classification algorithm, relevant quality indices such as classification accuracy (ACC) or the area under the receiver operating characteristic curve (AUC) should be investigated. End-users of these algorithms are interested in high values of the metrics as well as the...
Main Authors: | Czmil Sylwester, Kluska Jacek, Czmil Anna |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2024-03-01
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Series: | International Journal of Applied Mathematics and Computer Science |
Subjects: | |
Online Access: | https://doi.org/10.61822/amcs-2024-0011 |
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