Feature selection and classification in high dimensional data based on Neuroevolution Vrije Universiteit Brussel
Problem definition and objectives Nowadays there is a trend towards high dimensional datasets resulting from the simultaneous measurement of a high number of characteristics (features) of a small number of samples. In classification tasks this phenomenon is known as the 'curse of dimensionality' and thus feature selection methods are an indispensable module of the classification pipeline to identify the relevant features that can describe the ...