Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional
- low dimensional
- data representation
- high dimensional data
- input space
- feature selection
- high dimensionality
- structure preserving
- pattern recognition
- principal components
- pattern recognition and machine learning
- linear discriminant analysis
- feature extraction
- data points
- nonlinear dimensionality reduction
- random projections
- preprocessing step
- euclidean distance
- game theory
- singular value decomposition
- dimensionality reduction methods
- resource allocation
- information systems
- kernel pca
- cooperative
- feature space
- dimension reduction
- electronic commerce
- metric learning
- principal components analysis
- kernel learning
- knn