kNN and SVM classification for EEG: a review

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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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Bibliographic Details
Main Authors:	Fuad, N., Sha'abani, M.N.A.H., Jamal, Norezmi, Ismail, M.F.
Other Authors:	Nasir, Ahmad Nor Kasruddin
Format:	Book Section
Language:	English
Published:	Springer Nature 2020
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/2872/ http://eprints.uthm.edu.my/2872/1/kNN%20and%20SVM%20classification%20for%20eeg.pdf

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