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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Detalles Bibliográficos
Autores principales: Singh, Tribhuvan, Saxena, Nitin, Khurana, Manju, Singh, Dilbag, Abdalla, Mohamed, Alshazly, Hammam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231885/
https://www.ncbi.nlm.nih.gov/pubmed/34198501
http://dx.doi.org/10.3390/s21124086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231885/
https://www.ncbi.nlm.nih.gov/pubmed/34198501
http://dx.doi.org/10.3390/s21124086

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