Non-parametric Fisher's discriminant analysis with kernels for data classification.
Abdunnaser DiafBoubakeur BoufamaRachid BenlamriPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- discriminant analysis
- data sets
- dimensionality reduction methods
- class separability
- feature extraction
- training data
- pattern recognition
- data analysis
- linear discriminant analysis
- decision trees
- fisher criterion
- original data
- input data
- principal component analysis
- face recognition
- low dimensional
- feature vectors
- feature space
- kernel principal component analysis
- support vector
- kernel discriminant analysis