Keyphrases
- dimensionality reduction
- information systems
- principal component analysis
- feature extraction
- higher order
- dimensionality reduction methods
- low dimensional
- pattern recognition
- random projections
- high dimensional data
- high dimensionality
- linear discriminant analysis
- high dimensional
- input space
- lower dimensional
- pairwise
- singular value decomposition
- hypergraph model
- data representation
- high order
- feature space
- pattern recognition and machine learning
- dimension reduction
- manifold learning
- data points
- principal components
- structure preserving
- nonlinear dimensionality reduction
- information security
- knowledge management
- preprocessing step
- kernel pca
- intrinsic dimensionality
- feature selection
- linear dimensionality reduction
- information technology
- text categorization
- discriminant analysis
- health care