Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional data
- random projections
- data mining and machine learning
- manifold learning
- discriminative information
- high dimensional
- partial least squares
- high dimensionality
- feature selection
- low dimensional
- high dimensional problems
- singular value decomposition
- linear discriminant analysis
- dimensionality reduction
- dimension reduction methods
- feature space
- variable selection
- unsupervised learning
- manifold embedding
- high dimensional data analysis
- sparse metric learning
- neural network
- reinforcement learning
- learning algorithm
- data mining
- real world