Keyphrases
- dimensionality reduction
- data representation
- high dimensional
- principal component analysis
- low dimensional
- high dimensional data
- structure preserving
- high dimensionality
- feature extraction
- input space
- manifold learning
- data points
- random projections
- feature selection
- pattern recognition and machine learning
- dimensionality reduction methods
- sparse representation
- linear dimensionality reduction
- principal components
- linear discriminant analysis
- euclidean distance
- expert systems
- preprocessing
- dimension reduction
- databases
- feature space
- metric learning
- preprocessing step
- pattern recognition
- image processing
- e learning
- genetic algorithm