Optimal damping of selected eigenfrequencies using dimension reduction.
Peter BennerZoran TomljanovicNinoslav TruharPublished in: Numer. Linear Algebra Appl. (2013)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional problems
- optimal design
- high dimensional
- feature extraction
- low dimensional
- linear discriminant analysis
- variable selection
- data mining and machine learning
- high dimensional data
- singular value decomposition
- cluster analysis
- partial least squares
- random projections
- dimensionality reduction
- manifold learning
- high dimensional data analysis
- unsupervised learning
- power system
- high dimensionality
- feature space
- training data
- maximum likelihood
- probabilistic model
- object recognition
- image processing
- machine learning
- data mining