An integrated approach for making inference on the number of clusters in a mixture model (2021)
Unidades: ICMC, IME, INTER: ICMC -UFSCARSubjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS
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SARAIVA, Erlandson Ferreira et al. An integrated approach for making inference on the number of clusters in a mixture model. Tradução . Basel: MDPI, 2021. . Disponível em: https://www.mdpi.com/1099-4300/22/12/1438/pdf. Acesso em: 16 nov. 2024.APA
Saraiva, E. F., Suzuki, A. K., Milan, L. A., & Pereira, C. A. de B. (2021). An integrated approach for making inference on the number of clusters in a mixture model. In . Basel: MDPI. Recuperado de https://www.mdpi.com/1099-4300/22/12/1438/pdfNLM
Saraiva EF, Suzuki AK, Milan LA, Pereira CA de B. An integrated approach for making inference on the number of clusters in a mixture model [Internet]. Basel: MDPI; 2021. [citado 2024 nov. 16 ] Available from: https://www.mdpi.com/1099-4300/22/12/1438/pdfVancouver
Saraiva EF, Suzuki AK, Milan LA, Pereira CA de B. An integrated approach for making inference on the number of clusters in a mixture model [Internet]. Basel: MDPI; 2021. [citado 2024 nov. 16 ] Available from: https://www.mdpi.com/1099-4300/22/12/1438/pdf