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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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
PeerJ Inc.
2026
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| Subjects: | |
| 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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