Learning Vector Quantization with Training Count (LVQTC)

@article{Odorico1997LearningVQ,
  title={Learning Vector Quantization with Training Count (LVQTC)},
  author={Roberto Odorico},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1997},
  volume={10 6},
  pages={1083-1088}
}
Kohonen's learning vector quantization (LVQ) is modified by attributing training counters to each neuron, which record its training statistics. During training, this allows for dynamic self-allocation of the neurons to classes. In the classification stage training counters provide an estimate of the reliability of classification of the single neurons, which can be exploited to obtain a substantially higher purity of classification. The method turns out to be especially valuable in the presence… CONTINUE READING
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