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Hierarchical dendrogram for clustering of the 28 chemical variables (a) and for clustering of the 10 plant objects (b) using Ward's method of linkage and squared Euclidean distances

Hierarchical dendrogram for clustering of the 28 chemical variables (a) and for clustering of the 10 plant objects (b) using Ward's method of linkage and squared Euclidean distances

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The aim of the present study is the effective application of chemometric approach to the elemental composition of a data set of ten ethereal oil plant materials. The contents of 28 essential and toxic mineral elements at main, minor and trace level are determined in each sample by means of direct solid sampling electrothermal vapourization inductiv...

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Context 1
... subjected to multivariate statistical treatment has dimensions [10 × 28] (10 plant materials treated for 28 chemical parameters -Ag, Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, P, Pb, S, Sb, Se, Si, Sn, Ti, Zn, and Zr). A hierarchical dendrogram for clustering of the 28 chemical variables from the data set is presented in Fig. 1a. As can be seen, five clusters (denoted as K1, K2, K3, K4, and K5, respectively) are formed at the significance level of 33.3 % D max ...
Context 2
... hierarchic dendrogram for clustering of the 10 plant samples (Fig. 1b) from the data set [10×28] presents two major clusters -Cluster 1 and Cluster 2 (2/3 D max test) as ...