Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics.
Kayla D. ColemanAllison LewisRalph C. SmithBrian WilliamsMax D. MorrisBassam KhuwailehPublished in: SIAM/ASA J. Uncertain. Quantification (2019)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional data
- low dimensional
- high dimensional
- linear discriminant analysis
- linear projection
- partial least squares
- high dimensionality
- manifold learning
- real world
- high dimensional problems
- feature space
- data mining and machine learning
- data sets
- dimensionality reduction
- model selection
- unsupervised learning
- singular value decomposition
- feature extraction
- feature selection
- random projections
- feature subspace