Overlapping Sliced Inverse Regression for Dimension Reduction.
Ning ZhangZhou YuQiang WuPublished in: CoRR (2018)
Keyphrases
- dimension reduction
- partial least squares
- feature extraction
- principal component analysis
- regression model
- data mining and machine learning
- singular value decomposition
- high dimensional
- manifold learning
- feature selection
- low dimensional
- variable selection
- high dimensional problems
- feature space
- high dimensional data
- unsupervised learning
- high dimensional data analysis
- random projections
- model selection
- cluster analysis
- linear discriminant analysis
- high dimensionality
- discriminative information
- dimensionality reduction
- preprocessing
- support vector
- dimension reduction methods
- least squares
- image segmentation
- computer vision
- qr decomposition
- real world