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