2015
DOI: 10.1080/03067319.2015.1101644
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Optimisation of solid-state urea clathrate formation as a chemical separation method coupled to compound-specific stable carbon isotope analysis

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Cited by 5 publications
(1 citation statement)
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“…This is a widely known multivariate classification method in which each case starts in a separate cluster and joins up to the other clusters as the linkage distance grows, until only one cluster remains [41]. This method has been successfully applied in hydrology [42][43][44][45], hydrogeology [46], geology [47][48][49][50][51], chemistry [52] and anthropology [53] to find similar and homogeneous groups of observations. The validity of the groupings was verified using linear discriminant analysis (LDA), which separates the observations with linear planes resulting in a percentage of correctly classified cases [54,55].…”
Section: Discussionmentioning
confidence: 99%
“…This is a widely known multivariate classification method in which each case starts in a separate cluster and joins up to the other clusters as the linkage distance grows, until only one cluster remains [41]. This method has been successfully applied in hydrology [42][43][44][45], hydrogeology [46], geology [47][48][49][50][51], chemistry [52] and anthropology [53] to find similar and homogeneous groups of observations. The validity of the groupings was verified using linear discriminant analysis (LDA), which separates the observations with linear planes resulting in a percentage of correctly classified cases [54,55].…”
Section: Discussionmentioning
confidence: 99%