Feature selection in high-dimensional EEG data by parallel multi-objective optimization.
Dragi KimovskiJulio Ortega LoperaAndrés OrtizRaul BañosPublished in: CLUSTER (2014)
Keyphrases
- multi objective optimization
- high dimensional
- feature selection
- eeg data
- multi objective
- evolutionary algorithm
- dimensionality reduction
- feature space
- multiple objectives
- genetic algorithm
- nsga ii
- brain computer interface
- pareto optimal
- bi objective
- text categorization
- multi objective genetic algorithm
- low dimensional
- multi objective optimization problems
- multi objective genetic algorithms
- independent component analysis
- text classification
- differential evolution
- blind source separation
- multiobjective optimization
- motor imagery
- feature set
- eeg signals
- text mining
- nearest neighbor
- classification accuracy
- complex optimization problems
- high dimensional data
- signal processing
- objective function
- feature extraction
- neural network