A fast separability-based feature-select
β
Baofeng Guo; R.I. Damper; Steve R. Gunn; J.D.B. Nelson
π
Article
π
2008
π
Elsevier Science
π
English
β 358 KB
Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of separability measures has been proposed for feature selection. In this paper, we show that there is a general framework based on the criterion of mutual information (MI) that can provide a realistic solu