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- W1963628612 abstract "Three multivariate methods of analysis were applied to the problem of selecting the most important descriptions of tea from a list of 11 relevant ones. Principal component analysis gave useful information with data from homogeneous groups of experts but not with data from an heterogeneous group of non-experts. When cluster analysis was used to give homogeneous groups of non-experts from the heterogeneous one then principal component analysis again gave useful and similar information. Stepwise discriminant analysis gave different results from that of principal component analysis, a quite logical solution. The value of using more than one method of multivariate analysis is stressed." @default.
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- W1963628612 date "1974-02-01" @default.
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- W1963628612 title "Multivariate analysis of flavour terms used by experts and non-experts for describing teas" @default.
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- W1963628612 doi "https://doi.org/10.1002/jsfa.2740250207" @default.
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