A review of learning vector quantization classifiers

@article{Nova2013ARO,
  title={A review of learning vector quantization classifiers},
  author={David Nova and Pablo A. Est{\'e}vez},
  journal={Neural Computing and Applications},
  year={2013},
  volume={25},
  pages={511-524}
}
In this work, we present a review of the state of the art of learning vector quantization (LVQ) classifiers. A taxonomy is proposed which integrates the most relevant LVQ approaches to date. The main concepts associated with modern LVQ approaches are defined. A comparison is made among eleven LVQ classifiers using one real-world and two artificial datasets. 

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