An unsupervised approach to feature discretization and selection

  title={An unsupervised approach to feature discretization and selection},
  author={Artur J. Ferreira and M{\'a}rio A. T. Figueiredo},
  journal={Pattern Recognition},
Many learning problems require handling high dimensional datasets with a relatively small number of instances. Learning algorithms are thus confronted with the curse of dimensionality, and need to address it in order to be effective. Examples of these types of data include the bag-of-words representation in text classification problems and gene expression data for tumor detection/classification. Usually, among the high number of features characterizing the instances, many may be irrelevant (or… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 32 extracted citations

Similar Papers

Loading similar papers…