Comparing relational and non-relational algorithms for clustering propositional data (2013)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC ; OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- ISBN: 9781450316569
- Source:
- Título do periódico: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
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ABNT
MOTTA, Robson et al. Comparing relational and non-relational algorithms for clustering propositional data. 2013, Anais.. New York: ACM, 2013. . Acesso em: 23 abr. 2024. -
APA
Motta, R., Nogueira, B. M., Jorge, A. M., Lopes, A. de A., Rezende, S. O., & Oliveira, M. C. F. de. (2013). Comparing relational and non-relational algorithms for clustering propositional data. In Proceedings. New York: ACM. -
NLM
Motta R, Nogueira BM, Jorge AM, Lopes A de A, Rezende SO, Oliveira MCF de. Comparing relational and non-relational algorithms for clustering propositional data. Proceedings. 2013 ;[citado 2024 abr. 23 ] -
Vancouver
Motta R, Nogueira BM, Jorge AM, Lopes A de A, Rezende SO, Oliveira MCF de. Comparing relational and non-relational algorithms for clustering propositional data. Proceedings. 2013 ;[citado 2024 abr. 23 ] - Centrality measures from complex networks in active learning
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