Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions.
Olivier ZahmPaul G. ConstantineClémentine PrieurYoussef M. MarzoukPublished in: SIAM J. Sci. Comput. (2020)
Keyphrases
- dimension reduction
- vector valued functions
- principal component analysis
- generative topographic mapping
- feature extraction
- high dimensional
- manifold learning
- high dimensional problems
- data mining and machine learning
- high dimensionality
- high dimensional data
- feature selection
- low dimensional
- partial least squares
- singular value decomposition
- variable selection
- feature space
- linear discriminant analysis
- dimensionality reduction
- random projections
- discriminative information
- high dimensional data analysis
- decision trees
- discriminant analysis
- unsupervised learning
- cluster analysis
- preprocessing step
- image data
- data analysis