Response dimension reduction for the conditional mean in multivariate regression.
Jae Keun YooR. Dennis CookPublished in: Comput. Stat. Data Anal. (2008)
Keyphrases
- dimension reduction
- multivariate regression
- regression model
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- low dimensional
- singular value decomposition
- high dimensional problems
- linear regression
- partial least squares
- model selection
- data mining and machine learning
- variable selection
- high dimensionality
- cluster analysis
- random projections
- dimensionality reduction
- manifold learning
- preprocessing
- high dimensional data analysis
- linear discriminant analysis
- feature selection
- logistic regression
- neural network
- discriminative information
- manifold embedding
- real world
- unsupervised learning
- face recognition
- learning algorithm
- k nearest neighbor
- nearest neighbor
- intrinsic dimension
- optical flow
- pattern recognition