Spectrophotometric variable selection by mutual information

@inproceedings{Benoudjita2004SpectrophotometricVS,
  title={Spectrophotometric variable selection by mutual information},
  author={N. Benoudjita and Daniel Franc and oisb and M. Meurensc and M. Verleysena},
  year={2004}
}
  • N. Benoudjita, Daniel Franc, +2 authors M. Verleysena
  • Published 2004
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… CONTINUE READING