A semi-supervised approach to estimate the number of clusters per class (2012)
Source: Proceedings. Conference titles: Brazilian Conference on Neural Networks - SBRN. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
SESTARO, Davidson M e COVÕES, Thiago F e HRUSCHKA, Eduardo Raul. A semi-supervised approach to estimate the number of clusters per class. 2012, Anais.. Piscataway: CPS, 2012. Disponível em: https://doi.org/10.1109/SBRN.2012.31. Acesso em: 19 fev. 2026.APA
Sestaro, D. M., Covões, T. F., & Hruschka, E. R. (2012). A semi-supervised approach to estimate the number of clusters per class. In Proceedings. Piscataway: CPS. doi:10.1109/SBRN.2012.31NLM
Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2026 fev. 19 ] Available from: https://doi.org/10.1109/SBRN.2012.31Vancouver
Sestaro DM, Covões TF, Hruschka ER. A semi-supervised approach to estimate the number of clusters per class [Internet]. Proceedings. 2012 ;[citado 2026 fev. 19 ] Available from: https://doi.org/10.1109/SBRN.2012.31

