Bi-objective feature selection for discriminant analysis in two-class classification.
Joaquín A. PachecoSilvia CasadoFrancisco Ángel-BelloAda M. AlvarezPublished in: Knowl. Based Syst. (2013)
Keyphrases
- discriminant analysis
- class separability
- feature selection
- fisher linear discriminant analysis
- discriminant functions
- feature extraction
- bi objective
- fisher criterion
- linear discriminant analysis
- kernel discriminant analysis
- feature space
- automatic relevance determination
- dimensionality reduction methods
- face recognition
- dimensionality reduction
- classification accuracy
- intra class
- text classification
- scatter matrices
- support vector
- pattern recognition
- principal component analysis
- linear discriminant
- class labels
- discriminant subspace
- dimension reduction
- support vector machine svm
- efficient solutions
- unsupervised learning
- multi class
- feature selection algorithms
- ant colony optimization
- feature set
- multi objective
- fisher discriminant analysis
- decision trees
- machine learning
- support vector machine
- training data
- neural network