Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- low dimensional
- data representation
- high dimensionality
- pattern recognition
- manifold learning
- dimensionality reduction methods
- principal component analysis
- preprocessing step
- euclidean distance
- feature extraction
- structure preserving
- random projections
- feature space
- feature selection
- data points
- nonlinear dimensionality reduction
- singular value decomposition
- principal components
- linear dimensionality reduction
- linear projection
- diffusion maps
- linear discriminant analysis
- intrinsic dimensionality
- pattern recognition and machine learning
- input space
- principal components analysis
- kernel learning
- image processing
- multidimensional scaling
- dimension reduction
- locally linear embedding
- kernel pca
- real time
- hierarchical structure
- active learning
- information retrieval