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