Robust selection of variables in linear discriminant analysis.
Valentin TodorovPublished in: Stat. Methods Appl. (2007)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- discriminant features
- null space
- small sample size
- feature extraction
- high dimensional data
- support vector machine svm
- multivariate statistical
- support vector
- fisher criterion
- feature space
- discriminative information
- equivalence relationship
- linear discriminant
- class separability
- principal components analysis
- nonparametric discriminant analysis
- dealing with high dimensional data
- scatter matrix
- generalized discriminant analysis
- independent variables
- subspace analysis
- subspace methods
- data sets
- singular value decomposition
- k nearest neighbor
- multi class
- neural network