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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2020
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| Subjects: | |
| 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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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |