A fuzzy variant of an evolutionary algorithm for clustering (2007)
- Authors:
- USP affiliated authors: CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC ; HRUSCHKA, EDUARDO RAUL - EP
- Unidades: ICMC; EP
- DOI: 10.1109/FUZZY.2007.4295395
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2007
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE International Conference on Fuzzy Systems
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALVES, Vinicius Santino e CAMPELLO, Ricardo José Gabrielli Barreto e HRUSCHKA, Eduardo Raul. A fuzzy variant of an evolutionary algorithm for clustering. 2007, Anais.. Los Alamitos: IEEE, 2007. Disponível em: https://doi.org/10.1109/FUZZY.2007.4295395. Acesso em: 19 abr. 2024. -
APA
Alves, V. S., Campello, R. J. G. B., & Hruschka, E. R. (2007). A fuzzy variant of an evolutionary algorithm for clustering. In Proceedings. Los Alamitos: IEEE. doi:10.1109/FUZZY.2007.4295395 -
NLM
Alves VS, Campello RJGB, Hruschka ER. A fuzzy variant of an evolutionary algorithm for clustering [Internet]. Proceedings. 2007 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/FUZZY.2007.4295395 -
Vancouver
Alves VS, Campello RJGB, Hruschka ER. A fuzzy variant of an evolutionary algorithm for clustering [Internet]. Proceedings. 2007 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/FUZZY.2007.4295395 - Relative clustering validity criteria: a comparative overview
- A robust methodology for comparing performances of clustering validity criteria
- On the efficiency of evolutionary fuzzy clustering
- On the comparisson of relative clustering validity criteria
- Fuzzy clustering-based filter
- Collaborative fuzzy clustering algorithms: some refinements and design guidelines
- On comparing two sequences of numbers and its applications to clustering analysis
- A comparative study on the use of correlation coefficients for redundant feature elimination
- Distributed Fuzzy clustering with automatic detection of the number of clusters
- Efficiency issues of evolutionary k-means
Informações sobre o DOI: 10.1109/FUZZY.2007.4295395 (Fonte: oaDOI API)
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