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...
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| 主要な著者: | , , , |
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| その他の著者: | |
| フォーマット: | Book Section |
| 言語: | English |
| 出版事項: |
Springer Nature
2020
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/2872/1/kNN%20and%20SVM%20classification%20for%20eeg.pdf http://eprints.uthm.edu.my/2872/ |
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