Sufficient Dimension Reduction: An Information-Theoretic Viewpoint.
Debashis GhoshPublished in: Entropy (2022)
Keyphrases
- information theoretic
- dimension reduction
- mutual information
- information theory
- theoretic framework
- feature extraction
- high dimensional
- low dimensional
- feature selection
- principal component analysis
- high dimensionality
- information bottleneck
- variable selection
- high dimensional data
- linear discriminant analysis
- dimensionality reduction
- feature space
- singular value decomposition
- cluster analysis
- entropy measure
- information theoretic measures
- jensen shannon divergence
- preprocessing
- multiple views
- neural network
- unsupervised learning
- image registration
- reinforcement learning
- machine learning