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Filtros : "model-based clustering" Limpar

Filtros

Parte de monografia/livro
An integrated approach for making inference on the number of clusters in a mixture model (2021)
Saraiva, Erlandson Ferreira ; Suzuki, Adriano Kamimura ; Milan, Luis Aparecido ; Pereira, Carlos Alberto de Bragança
Unidades: ICMC, IME, Interinstitucional de Pós-Graduação em Estatística
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. Tradução . Basel: MDPI, 2021. . Disponível em: https://www.mdpi.com/1099-4300/22/12/1438/pdf. Acesso em: 03 jan. 2026.
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/pdf
NLM
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 2026 jan. 03 ] Available from: https://www.mdpi.com/1099-4300/22/12/1438/pdf
Vancouver
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 2026 jan. 03 ] Available from: https://www.mdpi.com/1099-4300/22/12/1438/pdf
Artigo de periodico
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, Interinstitucional de Pós-Graduação em Estatística
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: 03 jan. 2026.
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/e21111063
NLM
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 2026 jan. 03 ] Available from: https://doi.org/10.3390/e21111063
Vancouver
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 2026 jan. 03 ] Available from: https://doi.org/10.3390/e21111063

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