Spectrophotometric variable selection by mutual information

Benoudjit, Nabil;François, Damien;Meurens, Marc;Verleysen, Michel
(2004) 6th Annual Congress of Chemometrics — Location: Conservatorie Natl Arts & Metiers, Paris (France) (3.December.2003)

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Abstract
Spectrophotometric data often comprise a great number of numerical components or variables that can be used in calibration models. When a large number of such variables are incorporated into a particular model, many difficulties arise, and it is often necessary to reduce the number of spectral variables. This paper proposes an incremental (Forward-Backward) procedure, initiated using an entropy-based criterion (mutual information), to choose the first variable. The advantages of the method are discussed; results in quantitative chemical analysis by spectrophotometry show the improvements obtained with respect to traditional and nonlinear calibration models. (C) 2004 Elsevier B.V. All rights reserved.
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Benoudjit, N., François, D., Meurens, M., & Verleysen, M. (2004). Spectrophotometric variable selection by mutual information. Chemometrics and Intelligent Laboratory Systems, 74(2), 243-251. https://doi.org/10.1016/j.chemolab.2004.04.015 (Original work published 2004)