Sliced Inverse Regression With Adaptive Spectral Sparsity for Dimension Reduction.
Xiao-Lin XuChuan-Xian RenRan-Chao WuHong YanPublished in: IEEE Trans. Cybern. (2017)
Keyphrases
- dimension reduction
- high dimensional
- partial least squares
- principal component analysis
- feature extraction
- low dimensional
- high dimensional data
- high dimensionality
- singular value decomposition
- feature selection
- high dimensional problems
- manifold learning
- linear discriminant analysis
- unsupervised learning
- dimensionality reduction
- random projections
- data mining and machine learning
- variable selection
- discriminative information
- high dimensional data analysis
- sparse representation
- feature space
- regression model
- nearest neighbor
- cluster analysis
- knowledge discovery
- discriminant analysis
- preprocessing
- data sets
- intrinsic dimension
- dimension reduction methods