Hybrid Approach of EEG Stress Level Classification Using K-Means Clustering and Support Vector Machine.
Tee Yi WenSiti Armiza Mohd ArisPublished in: IEEE Access (2022)
Keyphrases
- support vector machine
- svm classifier
- support vector
- support vector machine svm
- decision boundary
- feature selection
- training set
- classification algorithm
- pattern recognition
- feature vectors
- feature extraction
- eeg signals
- high classification accuracy
- classification method
- machine learning
- svm classification
- multi class
- classification accuracy
- image classification
- training samples
- preprocessing
- automatic classification
- generalization ability
- classification scheme
- ensemble classifier
- feature space
- support vector regression
- hyperplane
- k nearest neighbor
- supervised learning
- active learning
- motor imagery
- multi class svm
- sleep stage
- healthy subjects
- eeg data
- pattern classification
- kernel methods
- class labels
- training data