Feature clustering and mutual information for the selection of variables in spectral data (2009)
C. Krier, D. François, F. Rossi, M. Verleysen
Abstract. Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clustering of...
Feature Scoring by Mutual Information for Classification of (2008)
C. Krier, D. François, V. Wertz, M. Verleysen
Selecting relevant features in mass spectra analysis is important both for classification and search for causality. In this paper, it is shown how using mutual information can help answering to both...