Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- data mining and machine learning
- high dimensional
- singular value decomposition
- feature space
- partial least squares
- low dimensional
- random projections
- feature selection
- high dimensional data
- cluster analysis
- high dimensional problems
- manifold learning
- high dimensionality
- linear discriminant analysis
- variable selection
- dimensionality reduction
- unsupervised learning
- discriminative information
- high dimensional data analysis
- dimension reduction methods
- computer vision
- probabilistic model
- face recognition
- manifold embedding