A new estimator for efficient dimension reduction in regression.
Wei LuoXizhen CaiPublished in: J. Multivar. Anal. (2016)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- high dimensional problems
- feature selection
- variable selection
- manifold learning
- linear discriminant analysis
- dimensionality reduction
- data mining
- data mining and machine learning
- high dimensionality
- singular value decomposition
- low dimensional
- regression model
- model selection
- cluster analysis
- feature space
- support vector
- discriminative information
- data sets
- dimension reduction methods
- least squares
- discriminant analysis
- pattern recognition
- bayesian networks
- clustering algorithm
- high dimensional data analysis