Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification

Detalhes bibliográficos
Autor(a) principal: Erny, Guillaume Laurent
Data de Publicação: 2021
Outros Autores: Brito, Elsa, Pereira, Ana Bárbara, Bento-Silva, Andreia, Vaz Patto, Maria Carlota, Bronze, Maria Rosario
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/135404
Resumo: UIDB/ 00511/2020 POCI-01-0145-FEDER-029702 UID/04551/2020
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spelling Projection to latent correlative structures, a dimension reduction strategy for spectral-based classificationChemistry(all)Chemical Engineering(all)UIDB/ 00511/2020 POCI-01-0145-FEDER-029702 UID/04551/2020Latent variables are used in chemometrics to reduce the dimension of the data. It is a crucial step with spectroscopic data where the number of explanatory variables can be very high. Principal component analysis (PCA) and partial least squares (PLS) are the most common. However, the resulting latent variables are mathematical constructs that do not always have a physicochemical interpretation. A new data reduction strategy, named projection to latent correlative structures (PLCS), is introduced in this manuscript. This approach requires a set of model spectra that will be used as references. Each latent variable is the relative similarity of a given spectrum to a pair of reference spectra. The latent structure is obtained using every possible combination of reference pairing. The approach has been validated using more than 500 FTIR-ATR spectra from cool-season culinary grain legumes assembled from germplasm banks and breeders' working collections. PLCS has been combined with soft discriminant analysis to detect outliers that could be particularly suitable for a deeper analysis.Instituto de Tecnologia Química e Biológica António Xavier (ITQB)Faculdade de Ciências e Tecnologia (FCT)RUNErny, Guillaume LaurentBrito, ElsaPereira, Ana BárbaraBento-Silva, AndreiaVaz Patto, Maria CarlotaBronze, Maria Rosario2022-03-29T01:38:42Z2021-08-152021-08-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6application/pdfhttp://hdl.handle.net/10362/135404eng2046-2069PURE: 41792981https://doi.org/10.1039/d1ra03359jinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:13:45Zoai:run.unl.pt:10362/135404Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:23.721342Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
title Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
spellingShingle Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
Erny, Guillaume Laurent
Chemistry(all)
Chemical Engineering(all)
title_short Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
title_full Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
title_fullStr Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
title_full_unstemmed Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
title_sort Projection to latent correlative structures, a dimension reduction strategy for spectral-based classification
author Erny, Guillaume Laurent
author_facet Erny, Guillaume Laurent
Brito, Elsa
Pereira, Ana Bárbara
Bento-Silva, Andreia
Vaz Patto, Maria Carlota
Bronze, Maria Rosario
author_role author
author2 Brito, Elsa
Pereira, Ana Bárbara
Bento-Silva, Andreia
Vaz Patto, Maria Carlota
Bronze, Maria Rosario
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Tecnologia Química e Biológica António Xavier (ITQB)
Faculdade de Ciências e Tecnologia (FCT)
RUN
dc.contributor.author.fl_str_mv Erny, Guillaume Laurent
Brito, Elsa
Pereira, Ana Bárbara
Bento-Silva, Andreia
Vaz Patto, Maria Carlota
Bronze, Maria Rosario
dc.subject.por.fl_str_mv Chemistry(all)
Chemical Engineering(all)
topic Chemistry(all)
Chemical Engineering(all)
description UIDB/ 00511/2020 POCI-01-0145-FEDER-029702 UID/04551/2020
publishDate 2021
dc.date.none.fl_str_mv 2021-08-15
2021-08-15T00:00:00Z
2022-03-29T01:38:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/135404
url http://hdl.handle.net/10362/135404
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2046-2069
PURE: 41792981
https://doi.org/10.1039/d1ra03359j
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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