QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes (2012)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN.2012.6252477
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2012
- ISBN: 9781467314909
- Source:
- Título: Proceedings
- Conference titles: IEEE World Congress on Computational Intelligence - WCCI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FERREIRA, Leonardo N e PINTO, A. R e LIANG, Zhao. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252477. Acesso em: 04 mar. 2026. -
APA
Ferreira, L. N., Pinto, A. R., & Liang, Z. (2012). QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252477 -
NLM
Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477 -
Vancouver
Ferreira LN, Pinto AR, Liang Z. QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes [Internet]. Proceedings. 2012 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252477 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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Informações sobre o DOI: 10.1109/IJCNN.2012.6252477 (Fonte: oaDOI API)
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