Keyphrases
- dimension reduction
- feature selection
- feature extraction
- high dimensional problems
- principal component analysis
- high dimensional
- random projections
- low dimensional
- variable selection
- data mining and machine learning
- singular value decomposition
- feature space
- high dimensional data
- linear discriminant analysis
- feature subspace
- partial least squares
- dimensionality reduction
- discriminative information
- manifold learning
- combining multiple
- manifold embedding
- data sets
- ensemble methods
- unsupervised learning
- preprocessing
- machine learning
- image data
- learning algorithm
- intrinsic dimension