Feature selection for classification of animal feed ingredients from near infrared microscopy spectra.
José Antonio Sánchez del RiveroElena Montañés-RocesBegoña de la Roza-DelgadoAna SoldadoOscar LuacesJosé Ramón QuevedoAntonio BahamondePublished in: Inf. Sci. (2013)
Keyphrases
- feature selection
- classification accuracy
- text classification
- hyperspectral images
- feature extraction
- classification models
- machine learning
- support vector machine
- support vector
- feature vectors
- feature set
- discriminative features
- feature space
- small sample
- text categorization
- decision trees
- classification method
- feature selection and classification
- irrelevant features
- method for feature selection
- high dimensionality
- image analysis
- dimension reduction
- classification performances
- redundant features
- selected features
- data pre processing
- mutual information
- model selection
- wrapper feature selection
- support vector classification
- pattern recognition
- bayes classifier
- unsupervised learning
- cross validation
- feature selection algorithms
- multi task
- information gain
- hyperspectral
- remote sensing
- feature subset