kNN and SVM classification for EEG: a review
This paper review the classification method of EEG signal based on k-nearest neighbor (kNN) and support vector machine (SVM) algorithm. For instance, a classifier learns an input features from a dataset using specific approach and tuning parameters, develop a classification model, and use the model...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
Springer Nature
2020
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2872/1/kNN%20and%20SVM%20classification%20for%20eeg.pdf |