A CLASSIFICATION OF SEDIMENT TYPES BASED ON STATISTICAL MULTIVARIATE TECHNIQUES

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Abstract

In this paper the results of a characterization and classification of the mineralogical and chemical composition of some rural soils located close to five clay outcrops that supply the Castellon (spanish province) ceramic industry are presented. A total of 50 sediment samples were collected in accordance with statistical criteria and their chemical and mineralogical composition were determined. The classification of sediment types has been carried out using complementary statistical techniques: a hierarchical cluster analysis using Ward method and Euclidean distance to detect statistical significative groups (clusters) and a discriminant analysis of proximities to obtain probabilities. Univariate statistical descriptions have been computed for all variables. The statistical interpretation of the results suggests the existence of three main groups. Comparisons among them are computed.

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