Regularized coplanar discriminant analysis for dimensionality reduction.
Ke-Kun HuangDao-Qing DaiChuan-Xian RenPublished in: Pattern Recognit. (2017)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- dimensionality reduction
- linear discriminant analysis
- principal component analysis
- feature extraction
- dimensionality reduction methods
- face recognition
- quadratic discriminant analysis
- factor analysis
- graph embedding
- high dimensional data
- fisher linear discriminant analysis
- subspace learning
- high dimensional
- low dimensional
- unsupervised learning
- fisher discriminant analysis
- cluster analysis
- pattern recognition
- partial least squares
- fisher criterion
- kernel trick
- data representation
- high dimensionality
- discriminant projection
- generalized linear
- dimension reduction
- feature selection
- null space
- data sets
- discriminant subspace
- linear discriminant
- lower dimensional
- feature space
- locality preserving projections
- manifold learning
- singular value decomposition
- least squares
- association rules
- learning algorithm