Dimension reduction in functional regression with categorical predictor.
Guochang WangPublished in: Comput. Stat. (2017)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- high dimensional
- feature extraction
- linear discriminant analysis
- high dimensional data
- high dimensional problems
- feature selection
- variable selection
- low dimensional
- discriminative information
- data mining and machine learning
- feature space
- dimensionality reduction
- high dimensionality
- regression model
- singular value decomposition
- preprocessing
- manifold learning
- neural network
- linear regression
- model selection
- random projections
- regression algorithm
- feature subspace
- unsupervised learning
- pattern recognition
- support vector
- decision trees
- k nearest neighbor
- reinforcement learning
- image sequences
- image segmentation
- intrinsic dimension