GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data.
Yan ZhouBaoxue ZhangGaorong LiTiejun TongXiang WanPublished in: J. Comput. Biol. (2017)
Keyphrases
- high dimensional data
- discriminant analysis
- quadratic discriminant analysis
- linear discriminant analysis
- dimensionality reduction
- kernel discriminant analysis
- nearest neighbor
- low dimensional
- dimension reduction
- high dimensional
- subspace clustering
- high dimensionality
- data analysis
- original data
- data points
- data sets
- feature extraction
- principal component analysis
- small sample size
- null space
- face recognition
- manifold learning
- principal components analysis
- sparse representation
- fisher discriminant analysis
- low rank
- least squares
- cluster analysis
- variable selection
- subspace learning
- dimensional data
- lower dimensional
- scatter matrices
- input data
- support vector machine
- database
- pattern recognition