Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- feature selection
- variable selection
- high dimensional data
- manifold learning
- linear discriminant analysis
- high dimensional problems
- data mining and machine learning
- low dimensional
- cluster analysis
- dimensionality reduction
- singular value decomposition
- high dimensionality
- random projections
- discriminative information
- feature space
- unsupervised learning
- least squares
- partial least squares
- manifold embedding
- microarray
- dimension reduction methods
- preprocessing
- discriminant analysis
- neural network
- maximum likelihood
- nearest neighbor
- support vector
- bayesian networks
- similarity measure
- qr decomposition
- face recognition
- sparse metric learning