Online Sufficient Dimension Reduction Through Sliced Inverse Regression.
Zhanrui CaiRunze LiLiping ZhuPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- high dimensional
- feature extraction
- singular value decomposition
- low dimensional
- high dimensional data
- feature selection
- random projections
- feature space
- manifold learning
- high dimensional problems
- variable selection
- unsupervised learning
- high dimensionality
- discriminative information
- model selection
- regression model
- dimensionality reduction
- data mining and machine learning
- linear discriminant analysis
- cluster analysis
- preprocessing
- real world
- feature subspace
- dimension reduction methods
- high dimensional data analysis
- sparse metric learning