WINDOW SIZE THRESHOLD ANALYSIS FOR BRAINPRINT IDENTIFICATION USING INCREMENTAL K-NEAREST NEIGHBOUR (KNN)

This paper aims to investigate the window size threshold of the incremental update strategy in K-Nearest Neighbours (KNN) for brainprint identification. Electroencephalogram (EEG) signals are low signal-to-noise ratio and non-stationary. Incremental learning is good in handling dynamic applications...

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Bibliographic Details

Main Authors:	Siaw Hong, Liew, Yun Huoy, Choo, Yin Fen, Low, Shin Horng, Chong
Format:	Article
Language:	en
Published:	Asian Research Publishing Network (ARPN) 2020
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/39177/1/WINDOW%20SIZE%20-%20Copy.pdf http://ir.unimas.my/id/eprint/39177/ http://www.arpnjournals.org/jeas/research_papers/rp_2020/jeas_0920_8305.pdf
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