Robust inverse regression for dimension reduction.
Yuexiao DongZhou YuLi-Ping ZhuPublished in: J. Multivar. Anal. (2015)
Keyphrases
- dimension reduction
- partial least squares
- feature extraction
- principal component analysis
- singular value decomposition
- high dimensional data
- data mining and machine learning
- low dimensional
- high dimensional problems
- high dimensional
- discriminative information
- unsupervised learning
- feature selection
- random projections
- cluster analysis
- manifold learning
- variable selection
- linear discriminant analysis
- regression model
- dimensionality reduction
- high dimensional data analysis
- high dimensionality
- feature vectors
- preprocessing