PRINCIPAL COMPONENT ANALYSIS (PCA) PARA a AVALIAcAO DE DADOS QUiMICOS E GERAcAO DE HEAT MAPS: UM TUTORIAL

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Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorFerreira, Dennis da Silva-
Autor(es): dc.creatorRodrigues, Leticia da Silva-
Autor(es): dc.creatorPereira, Fabiola Manhas Verbi-
Autor(es): dc.creatorPereira-Filho, Edenir Rodrigues-
Data de aceite: dc.date.accessioned2025-08-21T17:59:27Z-
Data de disponibilização: dc.date.available2025-08-21T17:59:27Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-03-08-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.21577/0100-4042.20230030-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/245302-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/245302-
Descrição: dc.descriptionPRINCIPAL COMPONENT ANALYSIS (PCA) FOR CHEMICAL DATA EVALUATION AND HEAT MAPS PREPARATION: A TUTORIAL. This tutorial shows a step-by-step guide on handling big datasets using principal component analysis (PCA). A dataset of chemical elements' concentration, emission spectrum, and energy-dispersive X-ray fluorescence (EDXRF) of e-waste were used as examples. Five routines were proposed to apply data processing and PCA calculation focusing data from laser-induced breakdown spectroscopy (LIBS), EDXRF, and heat maps preparation. These routines can be used in various softwares such as MatLab, Octave, R, and Python. PCA was applied in three examples; the first was for concentrations, and the other two were for spectra. An example of heat maps assembling a hyperspectral image of a printed circuit was also described. In addition, a playlist was created on YouTube using the available examples. Therefore, with this tutorial, it may be possible to learn how to deal with a large volume of data by applying PCA. The authors hope to contribute to those researching in the area.-
Descrição: dc.descriptionUniv Fed Sao Carlos, Dept Quim, BR-13565905 Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Inst Quim, BR-14800060 Araraquara, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Inst Quim, BR-14800060 Araraquara, SP, Brazil-
Formato: dc.format8-
Idioma: dc.languageen-
Publicador: dc.publisherSoc Brasileira Quimica-
Relação: dc.relationQuimica Nova-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectexploratory analysis-
Palavras-chave: dc.subjectdata mining-
Palavras-chave: dc.subjectdata visualization-
Palavras-chave: dc.subjectdirect solid sample analysis-
Palavras-chave: dc.subjectlaser-
Palavras-chave: dc.subjectX-ray fluorescence-
Título: dc.titlePRINCIPAL COMPONENT ANALYSIS (PCA) PARA a AVALIAcAO DE DADOS QUiMICOS E GERAcAO DE HEAT MAPS: UM TUTORIAL-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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