Keyphrases
- dimension reduction
- singular value decomposition
- principal component analysis
- high dimensional
- feature extraction
- linear discriminant analysis
- high dimensional problems
- dimensionality reduction
- variable selection
- feature vectors
- data mining and machine learning
- high dimensional data
- low dimensional
- unsupervised learning
- cluster analysis
- feature space
- discriminative information
- feature selection
- partial least squares
- preprocessing step
- singular values
- feature subspace
- high dimensional data analysis
- sparse metric learning
- random projections
- manifold learning
- real world
- clustering method
- least squares
- pattern recognition
- discriminative features
- feature set
- clustering algorithm
- intrinsic dimension
- manifold embedding
- qr decomposition
- data sets