Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection.
Wenwen MinTaosheng XuChris DingPublished in: CoRR (2023)
Keyphrases
- partial least squares
- feature selection
- canonical correlation analysis
- dimension reduction
- small sample
- ls svm
- high dimensional
- norm regularization
- discriminant analysis
- principal component regression
- high dimensionality
- feature extraction
- principal component analysis
- sample size
- dimensionality reduction
- multi class
- model selection
- support vector
- support vector machine
- feature set
- factor analysis
- unsupervised learning
- low dimensional
- variable selection
- singular value decomposition
- feature space
- pattern recognition
- data sets