Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- low dimensional
- high dimensional
- feature extraction
- high dimensional problems
- high dimensional data
- variable selection
- high dimensionality
- regression model
- singular value decomposition
- linear discriminant analysis
- discriminative information
- feature space
- manifold learning
- feature selection
- dimensionality reduction
- unsupervised learning
- random projections
- data mining and machine learning
- dimension reduction methods
- database
- model selection
- preprocessing
- cluster analysis
- supervised learning
- pattern recognition
- feature subspace
- machine learning
- real world