Linear regression classification steered discriminative projection for dimension reduction.
Zhonghua LiuGang LiuLin ZhangJiexin PuPublished in: Multim. Tools Appl. (2020)
Keyphrases
- dimension reduction
- linear regression
- discriminative information
- feature extraction
- feature selection
- principal component analysis
- regression problems
- least squares
- high dimensional data
- high dimensional
- singular value decomposition
- variable selection
- regression methods
- unsupervised learning
- high dimensionality
- feature space
- linear discriminant analysis
- manifold learning
- random projections
- low dimensional
- null space
- partial least squares
- preprocessing
- cluster analysis
- training samples
- nonlinear regression
- classification accuracy
- regression method
- feature vectors
- pattern recognition
- kernel density estimators
- support vector machine svm
- nearest neighbor
- discriminative features
- support vector
- data sets
- dimensionality reduction
- supervised learning
- semi supervised
- data points
- training set