Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- dimensionality reduction
- high dimensional problems
- variable selection
- low dimensional
- discriminative information
- cluster analysis
- linear discriminant analysis
- feature space
- preprocessing
- unsupervised learning
- singular value decomposition
- high dimensionality
- data mining and machine learning
- partial least squares
- dimension reduction methods
- high dimensional data analysis
- feature selection
- random projections
- database
- sparse metric learning
- manifold learning
- k means
- pattern recognition
- image processing
- machine learning