Feature selection using CPL criterion functions
Tomasz Łukaszuk · 2009
Abstract: Dimensionality reduction of a feature set is a common preprocessing step used for pattern recognition and classification applications. It is particularly important when a small number of cases is represented in a highly dimensional feature space. The method of the feature selection based on minimisation of a special criterion function (convex and piecewise-linear- CPL) is considered in the article. A comparison of the experimental re-sults of this method with the results of NIPS2003 Feature Selection Challenge participant’s methods is also included.