Sufficient dimension reduction and prediction in regression: Asymptotic results.
Liliana ForzaniDaniela RodriguezEzequiel SmuclerMariela SuedPublished in: J. Multivar. Anal. (2019)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- low dimensional
- singular value decomposition
- high dimensional data
- linear discriminant analysis
- data mining and machine learning
- random projections
- variable selection
- cluster analysis
- regression model
- feature selection
- dimensionality reduction
- feature space
- manifold learning
- dimension reduction methods
- discriminative information
- manifold embedding
- neural network
- unsupervised learning
- model selection
- support vector machine
- knowledge discovery
- active learning
- database
- high dimensional data analysis