Dimension reduction for large-scale networked systems.
Irinel-Constantin MorarescuRomain PostoyanPublished in: CDC (2012)
Keyphrases
- dimension reduction
- singular value decomposition
- high dimensional problems
- high dimensionality
- linear discriminant analysis
- real world
- feature extraction
- principal component analysis
- partial least squares
- feature selection
- high dimensional data
- manifold learning
- qr decomposition
- data mining and machine learning
- random projections
- variable selection
- cluster analysis
- maximum likelihood
- low dimensional
- dimensionality reduction
- bayesian networks
- clustering algorithm
- data mining