A Hierarchical VQSVM for Imbalanced Data Sets

@article{Yu2007AHV,
  title={A Hierarchical VQSVM for Imbalanced Data Sets},
  author={Ting Yu and Tony Jan and Simeon J. Simoff and John K. Debenham},
  journal={2007 International Joint Conference on Neural Networks},
  year={2007},
  pages={518-523}
}
First, a hierarchical modelling method, VQSVM, is introduced, and some remarks are discussed. Secondly the proposed VQSVM is applied to a nonstandard learning environment, imbalanced data sets. In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. The hierarchical VQSVM contains a set of local models i.e. codevectors produced by the vector quantization and a global model, i.e. support vector machine, to… CONTINUE READING

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