On the use of consensus clustering for incremental learning of topic hierarchies (2012)
- Authors:
- USP affiliated authors: HRUSCHKA, EDUARDO RAUL - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-34459-6_12
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2012
- Source:
- Título do periódico: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7589, p. 112-121, 2012
- Conference titles: Brazilian Symposium on Artificial Intelligence : Advances in Artificial Intelligence - SBIA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MARCACINI, Ricardo M e HRUSCHKA, Eduardo Raul e REZENDE, Solange Oliveira. On the use of consensus clustering for incremental learning of topic hierarchies. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-34459-6_12. Acesso em: 17 abr. 2024. , 2012 -
APA
Marcacini, R. M., Hruschka, E. R., & Rezende, S. O. (2012). On the use of consensus clustering for incremental learning of topic hierarchies. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-34459-6_12 -
NLM
Marcacini RM, Hruschka ER, Rezende SO. On the use of consensus clustering for incremental learning of topic hierarchies [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 112-121.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_12 -
Vancouver
Marcacini RM, Hruschka ER, Rezende SO. On the use of consensus clustering for incremental learning of topic hierarchies [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7589 112-121.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1007/978-3-642-34459-6_12 - Privileged information for hierarchical document clustering: a metric learning approach
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Informações sobre o DOI: 10.1007/978-3-642-34459-6_12 (Fonte: oaDOI API)
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