Martarelli, Nádia Junqueira; Nagano, Marcelo Seido 
Fonte: Machine Learning with Applications. Unidade: EESC
Assuntos: PESQUISA CIENTÍFICA, REVISÃO SISTEMÁTICA
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MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. How have high-impact scientific studies designing their experiments on mixed data clustering? A systematic map to guide better choices. Machine Learning with Applications, v. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.mlwa.2021.100056. Acesso em: 14 jul. 2024.APA
Martarelli, N. J., & Nagano, M. S. (2021). How have high-impact scientific studies designing their experiments on mixed data clustering? A systematic map to guide better choices. Machine Learning with Applications, 5, Se 2021. doi:10.1016/j.mlwa.2021.100056NLM
Martarelli NJ, Nagano MS. How have high-impact scientific studies designing their experiments on mixed data clustering? A systematic map to guide better choices [Internet]. Machine Learning with Applications. 2021 ; 5 Se 2021.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1016/j.mlwa.2021.100056Vancouver
Martarelli NJ, Nagano MS. How have high-impact scientific studies designing their experiments on mixed data clustering? A systematic map to guide better choices [Internet]. Machine Learning with Applications. 2021 ; 5 Se 2021.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1016/j.mlwa.2021.100056
