Correlation-based feature selection strategy in classification problems
Krzysztof Michalak, Halina Kwaśnicka (2006)
International Journal of Applied Mathematics and Computer Science
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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. As a trade-off between the complexity of the selection process and the quality of the selected feature set,...