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Open Access

Peer-reviewed

Research Article

Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size

Valter Cesar de Souza ,

Contributed equally to this work with: Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft

* E-mail: valter.souza@unesp.br

Affiliation São Paulo State University (Unesp), School of Agriculture, Botucatu, São Paulo, Brasil

https://orcid.org/0000-0001-5103-9771

⨯
Sergio Augusto Rodrigues ,

Contributed equally to this work with: Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

Roles Project administration, Supervision, Writing – review & editing

Affiliation São Paulo State University (Unesp), School of Agriculture, Botucatu, São Paulo, Brasil
⨯
Luís Roberto Almeida Gabriel Filho

Contributed equally to this work with: Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

Roles Project administration, Supervision, Writing – review & editing

Affiliation São Paulo State University (Unesp), School of Sciences and Engineering, Tupã, São Paulo, Brasil

https://orcid.org/0000-0002-7269-2806

⨯

Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size

Valter Cesar de Souza,
Sergio Augusto Rodrigues,
Luís Roberto Almeida Gabriel Filho

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Published: December 31, 2024
https://doi.org/10.1371/journal.pone.0315574

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Principal component analysis
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Algorithms
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Mathematical functions
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Simulation and modeling
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Weather stations
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Brazil
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Machine learning algorithms
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Vapors
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