Keyphrases
- dimension reduction
- high dimensional problems
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- partial least squares
- manifold learning
- feature selection
- data mining and machine learning
- low dimensional
- variable selection
- high dimensionality
- singular value decomposition
- cluster analysis
- linear discriminant analysis
- dimensionality reduction
- feature space
- random projections
- dimension reduction methods
- discriminative information
- high dimensional data analysis
- sparse metric learning
- unsupervised learning
- preprocessing
- preprocessing step
- discriminant analysis
- data mining techniques
- computer vision
- data sets
- database