Clustering Performance Analysis Using Chaotic and Lévy Flight-Enhanced Black-Winged Kite Algorithms

Clustering is a fundamental unsupervised learning technique used to uncover hidden patterns in unlabeled data. Although metaheuristic algorithms have demonstrated effectiveness in clustering, many suffer from premature convergence and limited population diversity. This study employs the Black-Winged...

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Bibliografske podrobnosti

Principais autores:	Taybe Alabed, Sema Servi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-03-01
Serija:	Biomimetics
Teme:	clustering Black Winged Kite Algorithm (BKA) logistic map Levy flight optimization algorithms
Online dostop:	https://www.mdpi.com/2313-7673/11/3/200
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