Projection expectile regression for sufficient dimension reduction.
Abdul-Nasah SoalePublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- dimension reduction
- partial least squares
- linear projection
- principal component analysis
- feature extraction
- high dimensional
- regression model
- high dimensional data
- high dimensional problems
- data mining and machine learning
- low dimensional
- linear discriminant analysis
- random projections
- discriminative information
- manifold learning
- singular value decomposition
- variable selection
- unsupervised learning
- high dimensionality
- regression algorithm
- model selection
- feature space
- preprocessing
- feature selection
- dimensionality reduction
- dimension reduction methods
- high dimensional data analysis
- projection matrix
- manifold embedding
- cluster analysis
- null space
- neural network
- intrinsic dimension
- nearest neighbor
- support vector
- face recognition
- learning algorithm