Martarelli, Nádia Junqueira; Nagano, Marcelo Seido 
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: EESC
Assuntos: ALGORITMOS GENÉTICOS, XXX
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MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm. Lecture Notes in Computer Science. Cham, Switzerland: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33607-3_3. Acesso em: 05 nov. 2025. , 2019APA
Martarelli, N. J., & Nagano, M. S. (2019). Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm. Lecture Notes in Computer Science. Cham, Switzerland: Springer. doi:10.1007/978-3-030-33607-3_3NLM
Martarelli NJ, Nagano MS. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm [Internet]. Lecture Notes in Computer Science. 2019 ; 11871 20-27.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-33607-3_3Vancouver
Martarelli NJ, Nagano MS. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm [Internet]. Lecture Notes in Computer Science. 2019 ; 11871 20-27.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-33607-3_3
