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