A Study of the ISOMAP Algorithm and Its Applications in Machine Learning

Detalhes bibliográficos
Autor(a) principal: David, Lucas Oliveira
Data de Publicação: 2015
Tipo de documento: Trabalho de conclusão de curso
Idioma: eng
Título da fonte: Repositório Institucional da UFSCAR
Texto Completo: https://repositorio.ufscar.br/handle/ufscar/14806
Resumo: This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in practical experiments. The experiments were developed and executed in the following computational environment: Intel Core i7-4700MQ CPU 2.40GHz × 8, 16 GB of RAM. All the artifacts, (e.g., source-code, docs, experiments) can be found in the repository https://github.com/lucasdavid/manifold-learning and are licensed under the MIT License.
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spelling David, Lucas OliveiraLevada, Alexandre Luís Magalhãeshttp://lattes.cnpq.br/3341441596395463http://lattes.cnpq.br/82616420791022060e3d3b84-4e5b-4c33-bf77-33a56ec470962021-08-25T15:41:31Z2021-08-25T15:41:31Z2015-12-11DAVID, Lucas Oliveira. A Study of the ISOMAP Algorithm and Its Applications in Machine Learning. 2015. Trabalho de Conclusão de Curso (Graduação em Ciência da Computação) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/14806.https://repositorio.ufscar.br/handle/ufscar/14806This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in practical experiments. The experiments were developed and executed in the following computational environment: Intel Core i7-4700MQ CPU 2.40GHz × 8, 16 GB of RAM. All the artifacts, (e.g., source-code, docs, experiments) can be found in the repository https://github.com/lucasdavid/manifold-learning and are licensed under the MIT License.Este projeto busca estudar os fundamentos de redução dimensional não linear através do aprendizado de manifolds com o algoritmo Isometric Feature Mapping (ISOMAP) e observar a aplicação do algoritmo em experimentos práticos. Os experimentos foram desenvolvidos e executados no seguinte ambiente computacional: Intel Core i7-4700MQ CPU 2.40GHz × 8, 16 GB of RAM. Todos os artefatos (e.g., códigos-fonte, documentos e experimentos) podem ser encontrados no repositório https://github.com/lucasdavid/manifold-learning e estão sob a licença MIT.Não recebi financiamentoengUniversidade Federal de São CarlosCâmpus São CarlosCiência da Computação - CCUFSCarAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessMachine learningDimensionality reductionManifold learningAprendizado de máquinaRedução de dimensionalidadeAprendizado de manifoldsCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAOA Study of the ISOMAP Algorithm and Its Applications in Machine LearningUm estudo do algoritmo ISOMAP e suas aplicações em aprendizado de máquinainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis600fec0c75b-1b4b-43d8-bc3e-1e011fe2653areponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALfinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdffinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdfFinal reportapplication/pdf6766414https://repositorio.ufscar.br/bitstream/ufscar/14806/1/final-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdfdfb38e6d3a698908eed1a824251c4753MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufscar.br/bitstream/ufscar/14806/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52TEXTfinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.txtfinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.txtExtracted texttext/plain107227https://repositorio.ufscar.br/bitstream/ufscar/14806/3/final-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.txtd95b9e69f7f6df0cd338c794a4759006MD53THUMBNAILfinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.jpgfinal-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.jpgIM Thumbnailimage/jpeg6027https://repositorio.ufscar.br/bitstream/ufscar/14806/4/final-report-lucas-david-a-study-of-the-isomap-algorithm-and-its-applications-in-machine-learning.pdf.jpg1660a3026c97dc926be118323535d5baMD54ufscar/148062023-09-18 18:32:15.15oai:repositorio.ufscar.br:ufscar/14806Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:32:15Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.eng.fl_str_mv A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
dc.title.alternative.por.fl_str_mv Um estudo do algoritmo ISOMAP e suas aplicações em aprendizado de máquina
title A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
spellingShingle A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
David, Lucas Oliveira
Machine learning
Dimensionality reduction
Manifold learning
Aprendizado de máquina
Redução de dimensionalidade
Aprendizado de manifolds
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAO
title_short A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
title_full A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
title_fullStr A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
title_full_unstemmed A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
title_sort A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
author David, Lucas Oliveira
author_facet David, Lucas Oliveira
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/8261642079102206
dc.contributor.author.fl_str_mv David, Lucas Oliveira
dc.contributor.advisor1.fl_str_mv Levada, Alexandre Luís Magalhães
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3341441596395463
dc.contributor.authorID.fl_str_mv 0e3d3b84-4e5b-4c33-bf77-33a56ec47096
contributor_str_mv Levada, Alexandre Luís Magalhães
dc.subject.eng.fl_str_mv Machine learning
Dimensionality reduction
Manifold learning
topic Machine learning
Dimensionality reduction
Manifold learning
Aprendizado de máquina
Redução de dimensionalidade
Aprendizado de manifolds
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAO
dc.subject.por.fl_str_mv Aprendizado de máquina
Redução de dimensionalidade
Aprendizado de manifolds
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAO
description This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in practical experiments. The experiments were developed and executed in the following computational environment: Intel Core i7-4700MQ CPU 2.40GHz × 8, 16 GB of RAM. All the artifacts, (e.g., source-code, docs, experiments) can be found in the repository https://github.com/lucasdavid/manifold-learning and are licensed under the MIT License.
publishDate 2015
dc.date.issued.fl_str_mv 2015-12-11
dc.date.accessioned.fl_str_mv 2021-08-25T15:41:31Z
dc.date.available.fl_str_mv 2021-08-25T15:41:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bachelorThesis
format bachelorThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv DAVID, Lucas Oliveira. A Study of the ISOMAP Algorithm and Its Applications in Machine Learning. 2015. Trabalho de Conclusão de Curso (Graduação em Ciência da Computação) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/14806.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/14806
identifier_str_mv DAVID, Lucas Oliveira. A Study of the ISOMAP Algorithm and Its Applications in Machine Learning. 2015. Trabalho de Conclusão de Curso (Graduação em Ciência da Computação) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/14806.
url https://repositorio.ufscar.br/handle/ufscar/14806
dc.language.iso.fl_str_mv eng
language eng
dc.relation.confidence.fl_str_mv 600
dc.relation.authority.fl_str_mv fec0c75b-1b4b-43d8-bc3e-1e011fe2653a
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
Ciência da Computação - CC
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
Ciência da Computação - CC
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSCAR
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
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instacron_str UFSCAR
institution UFSCAR
reponame_str Repositório Institucional da UFSCAR
collection Repositório Institucional da UFSCAR
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