On the Relationship Between Feature Selection and Classification Accuracy

  title={On the Relationship Between Feature Selection and Classification Accuracy},
  author={Andreas Janecek and Wilfried N. Gansterer and Michael Demel and Gerhard F. Ecker},
Dimensionality reduction and feature subset selection are two techniques for reducing the attribute space of a feature set, which is an important component of both supervised and unsupervised classification or regression problems. While in feature subset selection a subset of the original attributes is extracted, dimensionality reduction in general produces linear combinations of the original attribute set. In this paper we investigate the relationship between several attribute space reduction… CONTINUE READING
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