A Novel Feature Selection Method for Classification Using a Fuzzy Criterion

@inproceedings{Ferraro2013ANF,
  title={A Novel Feature Selection Method for Classification Using a Fuzzy Criterion},
  author={Maria Brigida Ferraro and Antonio Irpino and Rosanna Verde and Mario Rosario Guarracino},
  booktitle={LION},
  year={2013}
}
Although many classification methods take advantage of fuzzy sets theory, the same cannot be said for feature reduction methods. In this paper we explore ideas related to the use of fuzzy sets and we propose a novel fuzzy feature selection method tailored for the Regularized Generalized Eigenvalue Classifier (ReGEC). The method provides small and robust subsets of features that can be used for supervised classification. We show, using real world datasets that the performance of ReGEC classifier… CONTINUE READING

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Classification and Characterization of Gene Expression Data with Generalized Eigenvalues

  • M. R. Guarracino, S. Cuciniello, P. Pardalos
  • Journal of Optimization Theory and Applications
  • 2009
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