Multiscale dimension reduction for flow and transport problems in thin domain with reactive boundaries.
Maria V. VasilyevaValentin AlekseevEric T. ChungYalchin EfendievPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- high dimensional problems
- multiscale
- data mining and machine learning
- high dimensionality
- high dimensional data analysis
- principal component analysis
- feature extraction
- manifold learning
- linear discriminant analysis
- image sequences
- singular value decomposition
- unsupervised learning
- high dimensional data
- low dimensional
- data mining techniques
- partial least squares
- dimensionality reduction
- high dimensional
- dimension reduction methods
- neural network
- sparse metric learning