On the efficient design of a prototype-based classifier using differential evolution
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/70703 |
Resumo: | In this paper we introduce an evolutionary approach for the efficient design of prototype-based classifiers using differential evolution (DE). For this purpose we amalgamate ideas from the Learning Vector Quantization (LVQ) framework for supervised classification by Kohonen [1], [2], with the DE-based automatic clustering approach by Das et al. [3] in order to evolve supervised classifiers. The proposed approach is able to determine both the optimal number of prototypes per class and the corresponding positions of these prototypes in the data space. By means of comprehensive computer simulations on benchmarking datasets, we show that the resulting classifier, named LVQ-DE, consistently outperforms state-of-the-art prototype-based classifiers. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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On the efficient design of a prototype-based classifier using differential evolutionIn this paper we introduce an evolutionary approach for the efficient design of prototype-based classifiers using differential evolution (DE). For this purpose we amalgamate ideas from the Learning Vector Quantization (LVQ) framework for supervised classification by Kohonen [1], [2], with the DE-based automatic clustering approach by Das et al. [3] in order to evolve supervised classifiers. The proposed approach is able to determine both the optimal number of prototypes per class and the corresponding positions of these prototypes in the data space. By means of comprehensive computer simulations on benchmarking datasets, we show that the resulting classifier, named LVQ-DE, consistently outperforms state-of-the-art prototype-based classifiers.Symposium on Differential Evolution2023-02-09T16:30:18Z2023-02-09T16:30:18Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfANDRADE FILHO, L. S.; BARRETO, G. A. On the efficient design of a prototype-based classifier using differential evolution. In: SYMPOSIUM ON DIFFERENTIAL EVOLUTION, 2014, Orlando. Anais... Orlando: IEEE, 2014. p. 1-8.http://www.repositorio.ufc.br/handle/riufc/70703Andrade Filho, Luiz Soares deBarreto, Guilherme de Alencarengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-02-09T16:30:18Zoai:repositorio.ufc.br:riufc/70703Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2023-02-09T16:30:18Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
On the efficient design of a prototype-based classifier using differential evolution |
title |
On the efficient design of a prototype-based classifier using differential evolution |
spellingShingle |
On the efficient design of a prototype-based classifier using differential evolution Andrade Filho, Luiz Soares de |
title_short |
On the efficient design of a prototype-based classifier using differential evolution |
title_full |
On the efficient design of a prototype-based classifier using differential evolution |
title_fullStr |
On the efficient design of a prototype-based classifier using differential evolution |
title_full_unstemmed |
On the efficient design of a prototype-based classifier using differential evolution |
title_sort |
On the efficient design of a prototype-based classifier using differential evolution |
author |
Andrade Filho, Luiz Soares de |
author_facet |
Andrade Filho, Luiz Soares de Barreto, Guilherme de Alencar |
author_role |
author |
author2 |
Barreto, Guilherme de Alencar |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Andrade Filho, Luiz Soares de Barreto, Guilherme de Alencar |
description |
In this paper we introduce an evolutionary approach for the efficient design of prototype-based classifiers using differential evolution (DE). For this purpose we amalgamate ideas from the Learning Vector Quantization (LVQ) framework for supervised classification by Kohonen [1], [2], with the DE-based automatic clustering approach by Das et al. [3] in order to evolve supervised classifiers. The proposed approach is able to determine both the optimal number of prototypes per class and the corresponding positions of these prototypes in the data space. By means of comprehensive computer simulations on benchmarking datasets, we show that the resulting classifier, named LVQ-DE, consistently outperforms state-of-the-art prototype-based classifiers. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2023-02-09T16:30:18Z 2023-02-09T16:30:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ANDRADE FILHO, L. S.; BARRETO, G. A. On the efficient design of a prototype-based classifier using differential evolution. In: SYMPOSIUM ON DIFFERENTIAL EVOLUTION, 2014, Orlando. Anais... Orlando: IEEE, 2014. p. 1-8. http://www.repositorio.ufc.br/handle/riufc/70703 |
identifier_str_mv |
ANDRADE FILHO, L. S.; BARRETO, G. A. On the efficient design of a prototype-based classifier using differential evolution. In: SYMPOSIUM ON DIFFERENTIAL EVOLUTION, 2014, Orlando. Anais... Orlando: IEEE, 2014. p. 1-8. |
url |
http://www.repositorio.ufc.br/handle/riufc/70703 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Symposium on Differential Evolution |
publisher.none.fl_str_mv |
Symposium on Differential Evolution |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
_version_ |
1809935819660591104 |