Enhancing Sufficient Dimension Reduction via Hellinger Correlation.
Seungbeom HongIlmun KimJun SongPublished in: CoRR (2024)
Keyphrases
- dimension reduction
- principal component analysis
- singular value decomposition
- high dimensional problems
- feature selection
- high dimensional
- high dimensional data
- feature extraction
- variable selection
- partial least squares
- manifold learning
- random projections
- discriminative information
- data mining and machine learning
- dimensionality reduction
- feature space
- linear discriminant analysis
- high dimensionality
- low dimensional
- high dimensional data analysis
- cluster analysis
- unsupervised learning
- text classification
- knowledge discovery
- preprocessing
- data mining
- database