Keyphrases
- dimension reduction
- sparse metric learning
- principal component analysis
- feature extraction
- singular value decomposition
- data mining and machine learning
- cluster analysis
- feature selection
- high dimensional problems
- high dimensional data
- high dimensional
- feature space
- low dimensional
- discriminative information
- partial least squares
- intrinsic dimension
- high dimensionality
- manifold learning
- random projections
- dimensionality reduction
- linear discriminant analysis
- variable selection
- manifold embedding
- high dimensional data analysis
- metric learning
- distance measure
- discriminant analysis
- support vector machine
- preprocessing
- image segmentation
- unsupervised learning
- dimension reduction methods
- neural network