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