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

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, f...

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Bibliographic Details
Main Authors: Dhiah Al-Shammary, Ekram Hakem, Ahmed M. Mahdi, Ayman Ibaida, Khandakar Ahmed
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Particle Swarm Optimization (PSO)
Minkowski distance
Clustering
Feature selection algorithms
EEG data
Machine learning algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914824000480

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http://www.sciencedirect.com/science/article/pii/S2352914824000480

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