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