Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification.
Juan Carlos Gómez-LópezDaniel Castillo-SecillaDragi KimovskiJesús GonzálezPublished in: IWANN (1) (2023)
Keyphrases
- metaheuristic
- high dimensional data
- optimization problems
- nsga ii
- high dimensionality
- tabu search
- optimal solution
- evolutionary algorithm
- test problems
- dimensionality reduction
- dimension reduction
- genetic algorithm
- multi objective
- low dimensional
- high dimensional
- nearest neighbor
- pattern recognition
- data sets
- data points
- feature space
- multi objective optimization
- similarity search
- manifold learning
- subspace clustering
- multiobjective optimization
- data analysis
- feature extraction
- feature selection
- optimization algorithm
- pareto optimal
- multivariate temporal data
- machine learning
- training set
- linear discriminant analysis
- decision trees
- benchmark problems
- high dimensional datasets
- multiobjective evolutionary algorithm
- feature vectors
- np hard
- evolutionary multiobjective optimization
- clustering high dimensional data
- input data
- knapsack problem
- text classification
- supervised learning
- learning algorithm
- data mining