Quantifying directed dependence via dimension reduction.
Sebastian FuchsPublished in: J. Multivar. Anal. (2024)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- principal component analysis
- high dimensional data
- low dimensional
- data mining and machine learning
- random projections
- variable selection
- singular value decomposition
- high dimensional problems
- linear discriminant analysis
- dimension reduction methods
- feature selection
- manifold learning
- high dimensionality
- cluster analysis
- feature space
- partial least squares
- discriminative information
- unsupervised learning
- preprocessing
- dimensionality reduction
- image sequences
- high dimensional data analysis
- database
- supervised learning
- nearest neighbor
- feature subspace
- manifold embedding