Hybridization of Learning Vector Quantization (LVQ) and Adaptive Coordinates (AC) for data classification and visualization

@article{Tapan2007HybridizationOL,
  title={Hybridization of Learning Vector Quantization (LVQ) and Adaptive Coordinates (AC) for data classification and visualization},
  author={M.S.Z. Tapan and Chee Siong Teh},
  journal={2007 International Conference on Intelligent and Advanced Systems},
  year={2007},
  pages={505-510}
}
Most of the artificial neural network (ANN) methods do not support data classification and visualization simultaneously. Some ANN methods such as learning vector quantization (LVQ), multi-layer perceptrons (MLP) and radial basis function (RBF) perform classification without any visualization. Excellent data visualization on the other hand has been prominently supported by various unsupervised methods such as self-organizing maps (SOM) and its recent variants of visualization induced SOM (ViSOM… CONTINUE READING

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