A hybrid approach combining generalized normal distribution optimization algorithm and fuzzy C-means with Calinski-Harabasz index for clustering optimization

In this paper, we propose a new hybrid approach, which combines Generalized Normal Distribution Optimization Algorithm (GNDOA) and fuzzy C-Means clustering (FCM). It is designed for processing unsupervised datasets. This idea target list the development about conventional function option and cluster...

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Bibliographic Details

Published in:	Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska Vol. 15; no. 3; pp. 10 - 14
Main Authors:	Ibrahim, Moatasem Mahmood, Qasim, Omar Saber, Hussein, Talal Fadhil
Format:	Journal Article
Language:	English
Published:	Lublin University of Technology 30.09.2025
Subjects:	Calinski-Harabasz index data mining feature selection fuzzy C-means clustering generalised normal distribution optimisation algorithm
ISSN:	2083-0157, 2391-6761
Online Access:	Get full text
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