Enhanced swarm optimization for feature selection in electroencephalogram classification: investigating visibility graph and persistent homology-based features

The analysis of high-dimensional, nonlinear electroencephalogram (EEG) remains challenging, particularly for non-medical EEG, which shows only subtle distinctions between data classes, compared to medical EEG. This study proposed a novel persistent homology (PH) pipeline by incorporating visibility...

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Bibliographic Details

Main Authors:	Carey Ling, Yu Fan, Pang, Piau, Liew, Siaw Hong
Format:	Article
Language:	en
Published:	PeerJ Inc. 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/51521/1/peerj-cs-3617.pdf http://ir.unimas.my/id/eprint/51521/ https://peerj.com/articles/cs-3617/ https://doi.org/10.7717/peerj-cs.3617
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