The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN.
Mamunur RashidBifta Sama BariMd Jahid HasanMohd Azraai Mohd RazmanRabiu Muazu MusaAhmad Fakhri Ab. NasirAnwar P. P. Abdul MajeedPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- knn
- random subspace
- majority voting
- classifier fusion
- k nearest neighbor
- k nearest neighbour
- motor imagery
- classification algorithm
- nearest neighbor
- nearest neighbor classifiers
- individual classifiers
- support vector machine svm
- classification accuracy
- multiple classifier systems
- subspace methods
- classifier ensemble
- random forest
- ensemble methods
- feature selection
- ensemble learning
- support vector machine
- eeg signals
- random sampling
- text categorization
- distance function
- text classification
- generalization ability
- prediction accuracy
- base learners
- decision trees
- base classifiers
- brain computer interface
- pattern recognition
- support vector
- ensemble classifier
- feature subspace
- neural network
- benchmark datasets
- multi class
- high dimensional
- training set
- image processing
- cross validation
- eeg data
- naive bayes
- active learning
- machine learning