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Data Clustering Using Moth-Flame Optimization Algorithm

A k-means algorithm is a method for clustering that has already gained a wide range of acceptability. However, its performance extremely depends on the opening cluster centers. Besides, due to weak exploration capability, it is easily stuck at local optima. Recently, a new metaheuristic called Moth...

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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Singh, Tribhuvan, Saxena, Nitin, Khurana, Manju, Singh, Dilbag, Abdalla, Mohamed, Alshazly, Hammam
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8231885/
https://ncbi.nlm.nih.gov/pubmed/34198501
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21124086
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