Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional problems
- data mining and machine learning
- low dimensional
- high dimensional data
- singular value decomposition
- high dimensional
- random projections
- variable selection
- partial least squares
- linear discriminant analysis
- feature selection
- manifold learning
- cluster analysis
- feature space
- unsupervised learning
- high dimensionality
- dimensionality reduction
- pattern recognition
- intrinsic dimension
- high dimensional data analysis
- preprocessing
- supervised learning
- discriminative information
- feature vectors
- image segmentation
- decision trees