Sparse sufficient dimension reduction with heteroscedasticity.
Haoyang ChengWenquan CuiPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2022)
Keyphrases
- dimension reduction
- high dimensional
- random projections
- sparse metric learning
- principal component analysis
- low dimensional
- feature extraction
- variable selection
- dimensionality reduction
- discriminative information
- data mining and machine learning
- manifold learning
- singular value decomposition
- high dimensionality
- high dimensional problems
- linear discriminant analysis
- cluster analysis
- partial least squares
- dimension reduction methods
- high dimensional data
- unsupervised learning
- feature space
- feature selection
- preprocessing
- high dimensional data analysis
- sparse representation
- database
- training samples
- nearest neighbor
- active learning
- face recognition
- data mining
- neural network