Exploiting BiCGstab(ℓ) Strategies to Induce Dimension Reduction.
Gerard L. G. SleijpenMartin B. van GijzenPublished in: SIAM J. Sci. Comput. (2010)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- low dimensional
- high dimensional
- feature selection
- high dimensional data
- singular value decomposition
- data mining and machine learning
- random projections
- cluster analysis
- high dimensionality
- high dimensional problems
- feature space
- partial least squares
- variable selection
- high dimensional data analysis
- dimension reduction methods
- manifold learning
- linear discriminant analysis
- dimensionality reduction
- unsupervised learning
- preprocessing
- manifold embedding
- database
- data mining techniques
- data analysis
- neural network