Optimal EEG feature selection by genetic algorithm for classification of imagination of hand movement.
Pharino ChumSeung-Min ParkKwang-Eun KoKwee-Bo SimPublished in: IECON (2012)
Keyphrases
- feature selection
- genetic algorithm
- binary decision tree
- classification accuracy
- feature subset
- text classification
- eeg signals
- feature set
- feature selection algorithms
- machine learning
- classification models
- support vector machine
- feature extraction
- decision trees
- feature space
- pattern recognition
- support vector
- unsupervised learning
- feature subset selection
- discriminative features
- high dimensionality
- classification performances
- method for feature selection
- accurate classification
- selecting relevant features
- multi objective
- optimal solution
- feature selection and classifier
- training set
- feature vectors
- image classification
- multi class
- knn
- neural network
- svm classifier
- sequential forward
- feature selection and classification
- class separability
- eeg data
- ensemble classifier
- genetic programming
- hand gestures
- model selection
- text categorization
- naive bayes
- genetic algorithm ga
- cross validation