Feature clustering and mutual information for the selection of variables in spectral data.
Catherine KrierDamien FrançoisFabrice RossiMichel VerleysenPublished in: ESANN (2007)
Keyphrases
- mutual information
- spectral data
- selection criterion
- information theoretic
- clustering method
- clustering algorithm
- image registration
- partial least squares
- principal components
- variable selection
- remote sensing
- proteomic data
- mass spectrometry
- hyperspectral
- feature vectors
- similarity measure
- feature selection
- cluster analysis
- feature set
- machine learning
- discriminant analysis
- unsupervised learning
- model selection
- input variables
- k means
- data analysis