Discriminant Analysis under f-Divergence Measures.
Anmol DwivediSihui WangAli TajerPublished in: Entropy (2022)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- face recognition
- dimensionality reduction methods
- principal component analysis
- factor analysis
- generalized linear
- fisher criterion
- cluster analysis
- partial least squares
- machine learning
- feature extraction
- data mining
- discriminant projection
- fisher discriminant analysis
- class separability
- kernel principal component analysis
- feature space
- canonical correlations
- support vector
- feature selection
- computer vision
- data sets
- fisher linear discriminant analysis
- discriminant subspace