Prediction-Oriented Dimensionality Reduction of Industrial Data Sets.
Maciej GrzendaPublished in: IEA/AIE (1) (2011)
Keyphrases
- dimensionality reduction
- data sets
- high dimensional data
- dimensionality reduction methods
- prediction accuracy
- industrial applications
- principal components
- high dimensionality
- linear discriminant analysis
- data representation
- prediction model
- benchmark data sets
- multi dimensional
- high dimensional
- feature space
- prediction algorithm
- feature extraction
- real world data sets
- predictive model
- principal component analysis
- discriminant analysis
- manifold learning
- structure preserving
- nonlinear dimensionality reduction
- linear dimensionality reduction
- text categorization
- input data
- low dimensional
- data streams
- pattern recognition
- training data
- clustering algorithm
- feature selection