Keyphrases
- dimension reduction
- principal component analysis
- high dimensional problems
- high dimensional
- feature extraction
- low dimensional
- data mining and machine learning
- singular value decomposition
- random projections
- variable selection
- high dimensional data
- manifold learning
- feature space
- feature selection
- unsupervised learning
- cluster analysis
- linear discriminant analysis
- high dimensionality
- partial least squares
- dimensionality reduction
- discriminative information
- database
- nearest neighbor
- training set
- preprocessing
- image processing
- manifold embedding