On a dimension reduction regression with covariate adjustment.
Jun ZhangLi-Ping ZhuLi-Xing ZhuPublished in: J. Multivar. Anal. (2012)
Keyphrases
- dimension reduction
- partial least squares
- survival analysis
- principal component analysis
- feature extraction
- regression model
- data mining and machine learning
- high dimensional
- high dimensional data
- singular value decomposition
- low dimensional
- variable selection
- high dimensional problems
- discriminative information
- random projections
- feature selection
- manifold learning
- model selection
- dimensionality reduction
- linear discriminant analysis
- unsupervised learning
- cluster analysis
- high dimensional data analysis
- feature space
- real world
- decision trees
- survival data
- dimension reduction methods
- neural network
- data mining methods
- high dimensionality
- selected features
- support vector
- computer vision
- manifold embedding