A novel brain EEG clustering based on Minkowski distance to improve intelligent epilepsy diagnosis
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Al-Shammary, Dhiah 
ORCID: 0000-0002-7927-2900, Hakem, Ekram, Mahdiyar, Amir ORCID: 0000-0002-8075-5918, Ibaida, Ayman ORCID: 0000-0003-1581-7219 and Ahmed, Khandakar ORCID: 0000-0003-1043-2029
(2024)
A novel brain EEG clustering based on Minkowski distance to improve intelligent epilepsy diagnosis.
Informatics in Medicine Unlocked, 47.
ISSN 2352-9148
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48622 |
| DOI | 10.1016/j.imu.2024.101492 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 3102 Bioinformatics and computational biology Current > FOR (2020) Classification > 3209 Neurosciences Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | particle swarm optimization; Minkowski distance; clustering; feature selection algorithms; EEG data; machine learning algorithms |
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