1988
DOI: 10.1007/978-3-642-83210-9_17
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The Use of Principal Components Analysis in Monitoring the Quality of Beer

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Cited by 3 publications
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“…Principal components analysis (PCA) is a so-called chemometric or multivariate statistical method, which is commonly used for reducing the effective dimensionality of complex data sets (Peppard 1988). For example, the method permits visualization of any similarity/dissimilarity that may exist among a set of samples and can also assist in the elucidation of relationships between observed sample groupings and the original variables on which the data set is based.…”
Section: Preliminary Study Based On Instrumental Analysis Of Flavoredmentioning
confidence: 99%
“…Principal components analysis (PCA) is a so-called chemometric or multivariate statistical method, which is commonly used for reducing the effective dimensionality of complex data sets (Peppard 1988). For example, the method permits visualization of any similarity/dissimilarity that may exist among a set of samples and can also assist in the elucidation of relationships between observed sample groupings and the original variables on which the data set is based.…”
Section: Preliminary Study Based On Instrumental Analysis Of Flavoredmentioning
confidence: 99%