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A novel brain EEG clustering based on Minkowski distance to improve intelligent epilepsy diagnosis

This paper introduces a novel clustering approach based on Minkowski's mathematical similarity to improve EEG feature selection for classification and have efficient Particle Swarm Optimization (PSO) in the context of machine learning. Given the intricacy of high-dimensional medical datasets, featur...

Celý popis

Uloženo v:
Hlavní autoři: Dhiah Al-Shammary, Ekram Hakem, Ahmed M. Mahdi, Ayman Ibaida, Khandakar Ahmed
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2024-01-01
Edice:Informatics in Medicine Unlocked
Témata:
Particle Swarm Optimization (PSO)
Minkowski distance
Clustering
Feature selection algorithms
EEG data
Machine learning algorithms
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2352914824000480
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