Keyphrases
- dimension reduction
- random projections
- feature selection
- principal component analysis
- feature extraction
- singular value decomposition
- low dimensional
- high dimensional problems
- high dimensional
- data mining and machine learning
- cluster analysis
- dimensionality reduction
- high dimensional data
- high dimensionality
- training data
- linear discriminant analysis
- ensemble learning
- manifold learning
- discriminative information
- partial least squares
- random forests
- variable selection
- feature subspace
- high dimensional data analysis
- ensemble methods
- training set
- feature space
- preprocessing
- learning algorithm
- dimension reduction methods
- discriminant analysis
- training samples
- unsupervised learning
- text classification
- least squares
- machine learning
- neural network
- data sets