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