Likelihood-based surrogate dimension reduction.
Linh H. NghiemFrancis K. C. HuiSamuel MüllerAlan H. WelshPublished in: Stat. Comput. (2024)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- maximum likelihood
- low dimensional
- data mining and machine learning
- singular value decomposition
- high dimensional problems
- partial least squares
- variable selection
- manifold learning
- linear discriminant analysis
- dimensionality reduction
- high dimensional data
- random projections
- discriminative information
- feature selection
- cluster analysis
- dimension reduction methods
- preprocessing
- high dimensionality
- unsupervised learning
- feature space
- high dimensional data analysis
- clustering method
- active learning
- pattern recognition
- manifold embedding