Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- linear discriminant analysis
- high dimensional data
- variable selection
- high dimensional
- data mining and machine learning
- manifold learning
- high dimensional problems
- high dimensionality
- low dimensional
- singular value decomposition
- random projections
- feature selection
- high dimensional data analysis
- cluster analysis
- dimensionality reduction
- feature space
- dimension reduction methods
- unsupervised learning
- partial least squares
- discriminative information
- data sets
- database
- support vector machine
- feature vectors
- pattern recognition
- face recognition
- feature subspace
- manifold embedding