Keyphrases
- discriminant analysis
- dimension reduction
- linear discriminant analysis
- principal component analysis
- feature extraction
- partial least squares
- face recognition
- dimensionality reduction
- cluster analysis
- scatter matrices
- high dimensional
- high dimensional data
- dimension reduction methods
- discriminative information
- random projections
- factor analysis
- support vector
- fisher discriminant analysis
- singular value decomposition
- manifold learning
- support vector machine svm
- neural network
- low dimensional
- feature space
- principal components
- least squares
- principal components analysis
- pattern recognition
- decision trees
- data mining