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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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Salvato in:
Autori principali: Taybe Alabed, Sema Servi
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-03-01
Serie:Biomimetics
Soggetti:
clustering
Black Winged Kite Algorithm (BKA)
logistic map
Levy flight
optimization algorithms
Accesso online:https://www.mdpi.com/2313-7673/11/3/200
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