Generalized kernel-based inverse regression methods for sufficient dimension reduction.
Chuanlong XieLixing ZhuPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- dimension reduction
- regression methods
- partial least squares
- regression model
- regression method
- principal component analysis
- linear regression
- feature extraction
- high dimensional
- regression algorithm
- logistic regression
- high dimensional data
- linear discriminant analysis
- low dimensional
- dimensionality reduction
- variable selection
- feature selection
- singular value decomposition
- robust regression
- feature space
- high dimensionality
- unsupervised learning
- support vector
- cluster analysis
- model selection
- nearest neighbor
- preprocessing
- data mining
- data sets
- support vector machine
- probabilistic model
- pattern recognition
- face recognition
- neural network