An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods (2009)
- Authors:
- Autor USP: HRUSCHKA, EDUARDO RAUL - ICMC
- Unidade: ICMC
- DOI: 10.1109/ISDA.2009.79
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2009
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
THIAGO FERREIRA COVÕES, e HRUSCHKA, Eduardo Raul. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.79. Acesso em: 19 set. 2024. -
APA
Thiago Ferreira Covões,, & Hruschka, E. R. (2009). An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.79 -
NLM
Thiago Ferreira Covões, Hruschka ER. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods [Internet]. Proceedings. 2009 ;[citado 2024 set. 19 ] Available from: https://doi.org/10.1109/ISDA.2009.79 -
Vancouver
Thiago Ferreira Covões, Hruschka ER. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods [Internet]. Proceedings. 2009 ;[citado 2024 set. 19 ] Available from: https://doi.org/10.1109/ISDA.2009.79 - An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks
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- Evolving Gaussian mixture models with splitting and merging mutation operators
- An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning
- Agregação de classificadores e agrupadores: uma abordagem para aprendizado semi-supervisionado e para transferência de conhecimento
Informações sobre o DOI: 10.1109/ISDA.2009.79 (Fonte: oaDOI API)
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