Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensional data
- principal component analysis
- high dimensionality
- feature selection
- feature extraction
- pattern recognition
- feature space
- data points
- linear discriminant analysis
- pattern recognition and machine learning
- structure preserving
- dimensionality reduction methods
- edge detection
- dimension reduction
- principal components
- manifold learning
- data representation
- kernel pca
- multiscale
- nonlinear dimensionality reduction
- input space
- random projections
- intrinsic dimensionality
- gradient direction
- neural network
- linear projection
- database