Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets

This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms. Two experimental methods are employed to examine the performance of ECA* against genetic algorithm for clustering++ (GENCLUS...

Descripción completa

Detalles Bibliográficos
Autores principales: Hassan, Bryar A., Rashid, Tarik A., Mirjalili, Seyedali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086011/
https://www.ncbi.nlm.nih.gov/pubmed/33981821
http://dx.doi.org/10.1016/j.dib.2021.107044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086011/
https://www.ncbi.nlm.nih.gov/pubmed/33981821
http://dx.doi.org/10.1016/j.dib.2021.107044

Ejemplares similares