Approximation of damped quadratic eigenvalue problem by dimension reduction.
Ninoslav TruharZoran TomljanovicMatea PuvacaPublished in: Appl. Math. Comput. (2019)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- data mining and machine learning
- variable selection
- singular value decomposition
- manifold learning
- high dimensional data
- low dimensional
- partial least squares
- high dimensional problems
- feature space
- linear discriminant analysis
- cluster analysis
- discriminative information
- feature selection
- covariance matrix
- least squares
- dimensionality reduction
- pairwise
- dimension reduction methods
- high dimensionality
- random projections
- image processing
- data mining
- high dimensional data analysis
- feature vectors
- training set
- objective function
- intrinsic dimension
- sparse metric learning