articleTop 1% cited
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
Trends in Food Science & Technology · 2017 · Vol. 72 · pp. 83–90
Daniel Granato✉(Universidade Estadual de Ponta Grossa)Jânio Sousa Santos(Universidade Estadual de Ponta Grossa)Graziela Bragueto Escher(Universidade Estadual de Ponta Grossa)Bruno Luís Ferreira(Universidade Federal de Santa Catarina)Rubén M. Maggio✉(National University of Rosario)
Phytochemicals and Antioxidant ActivitiesSpectroscopy and Chemometric AnalysesMeat and Animal Product QualityPrincipal component analysisMultivariate statisticsHierarchical clusteringMultivariate analysisData miningPerspective (graphical)Cluster (spacecraft)Computer scienceCorrelationCanonical correlation
Funding
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
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945
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21.36
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66
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Cited by
Principal component analysis (PCA) of physio-chemical components in different pumpkin (Cucurbita moschata Duch.) accessions
Journal of Pharmacognosy and Phytochemistry · 2021 · 1 citations
References
Observations on the use of statistical methods in Food Science and Technology
Food Research International · 2013 · 505 citations
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