Keyphrases
- dimensionality reduction
- high dimensional data
- data representation
- high dimensional
- pattern recognition and machine learning
- high dimensionality
- low dimensional
- feature selection
- principal component analysis
- feature extraction
- linear discriminant analysis
- data points
- dimensionality reduction methods
- random projections
- linear dimensionality reduction
- structure preserving
- pattern recognition
- input space
- principal components
- preprocessing step
- supervised dimensionality reduction
- linear projection
- temporal difference learning
- metric learning
- dimension reduction
- euclidean distance
- sparse representation
- feature space
- manifold learning
- neural network
- least squares