CORRELATION-BASED FEATURE SELECTION STRATEGY IN CLASSIFICATION PROBLEMS
Krzysztof Michalak, Halina Kwaśnicka · Digital library of Zielona Gora (University of Zielona Góra) · 2006
In classification problems, the issue of high dimensionality, of data is often considered important. To lower data dimensionality, feature selection methods are often employed. To select a set of features that will span a representation space that is as good as possible for the classification task, one must take into consideration possible interdependencies between the features.