Fuzzy clustering-based filter (2010)
- Authors:
- USP affiliated authors: HRUSCHKA, EDUARDO RAUL - ICMC ; CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Heidelberg
- Date published: 2010
- Source:
- Título: Lecture Notes in Computer Science - CCIS
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 80, p. 406-415, 2010
- Conference titles: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - IPMU
-
ABNT
COLETTA, Luiz Fernando Sommaggio et al. Fuzzy clustering-based filter. Lecture Notes in Computer Science - CCIS. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/j78087t26x4k2j11/. Acesso em: 22 jan. 2026. , 2010 -
APA
Coletta, L. F. S., Hruschka, E. R., Covões, T. F., & Campello, R. J. G. B. (2010). Fuzzy clustering-based filter. Lecture Notes in Computer Science - CCIS. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/j78087t26x4k2j11/ -
NLM
Coletta LFS, Hruschka ER, Covões TF, Campello RJGB. Fuzzy clustering-based filter [Internet]. Lecture Notes in Computer Science - CCIS. 2010 ; 80 406-415.[citado 2026 jan. 22 ] Available from: http://www.springerlink.com/content/j78087t26x4k2j11/ -
Vancouver
Coletta LFS, Hruschka ER, Covões TF, Campello RJGB. Fuzzy clustering-based filter [Internet]. Lecture Notes in Computer Science - CCIS. 2010 ; 80 406-415.[citado 2026 jan. 22 ] Available from: http://www.springerlink.com/content/j78087t26x4k2j11/ - On comparing two sequences of numbers and its applications to clustering analysis
- On the efficiency of evolutionary fuzzy clustering
- A robust methodology for comparing performances of clustering validity criteria
- Relative clustering validity criteria: a comparative overview
- On the comparisson of relative clustering validity criteria
- Collaborative fuzzy clustering algorithms: some refinements and design guidelines
- A comparative study on the use of correlation coefficients for redundant feature elimination
- Distributed Fuzzy clustering with automatic detection of the number of clusters
- A fuzzy variant of an evolutionary algorithm for clustering
- A survey of evolutionary algorithms for clustering
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