Mstab: Stabilized Induced Dimension Reduction for Krylov Subspace Recycling.
Martin P. NeuenhofenChen GreifPublished in: SIAM J. Sci. Comput. (2018)
Keyphrases
- dimension reduction
- low dimensional
- principal component analysis
- high dimensional data
- high dimensional
- linear projection
- dimensionality reduction
- feature space
- qr decomposition
- feature extraction
- feature subspace
- data mining and machine learning
- manifold learning
- subspace learning
- random projections
- linear discriminant analysis
- high dimensional problems
- lower dimensional
- discriminative information
- linear subspace
- feature selection
- high dimensionality
- singular value decomposition
- subspace clustering
- partial least squares
- nearest neighbor
- cluster analysis
- unsupervised learning
- image segmentation
- principal components
- face recognition
- data points
- principal components analysis
- pattern recognition
- supervised learning
- scatter matrices
- maximum likelihood
- learning algorithm
- high dimensional data analysis
- sparse metric learning