An integrated approach for making inference on the number of clusters in a mixture model (2019)
Saraiva, Erlandson Ferreira 
; Suzuki, Adriano Kamimura ; Milan, Luis Aparecido ; Pereira, Carlos Alberto de Bragança
Source: Entropy. Unidades: ICMC, IME, INTER: ICMC -UFSCAR
Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson Ferreira et al. An integrated approach for making inference on the number of clusters in a mixture model. Entropy, v. 21, n. 11, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.3390/e21111063. Acesso em: 13 out. 2024.APA
Saraiva, E. F., Suzuki, A. K., Milan, L. A., & Pereira, C. A. de B. (2019). An integrated approach for making inference on the number of clusters in a mixture model. Entropy, 21( 11), 1-18. doi:10.3390/e21111063NLM
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]. Entropy. 2019 ; 21( 11): 1-18.[citado 2024 out. 13 ] Available from: https://doi.org/10.3390/e21111063Vancouver
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]. Entropy. 2019 ; 21( 11): 1-18.[citado 2024 out. 13 ] Available from: https://doi.org/10.3390/e21111063
