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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...
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| Publié dans: | Data Brief |
|---|---|
| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8086011/ https://ncbi.nlm.nih.gov/pubmed/33981821 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2021.107044 |
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