A novel moment-based sufficient dimension reduction approach in multivariate regression.
Jae Keun YooPublished in: Comput. Stat. Data Anal. (2008)
Keyphrases
- dimension reduction
- multivariate regression
- regression model
- linear regression
- principal component analysis
- feature extraction
- model selection
- high dimensional problems
- high dimensional data
- high dimensional
- low dimensional
- random projections
- variable selection
- singular value decomposition
- feature space
- manifold learning
- feature selection
- linear discriminant analysis
- dimensionality reduction
- data mining and machine learning
- partial least squares
- logistic regression
- cluster analysis
- high dimensionality
- dimension reduction methods
- discriminative information
- unsupervised learning
- least squares
- real world
- neural network
- machine learning
- face recognition
- database
- support vector
- pattern recognition
- data points