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Comparative Study of Hydrochemical Classification Based on Different Hierarchical Cluster Analysis Methods by Bu, Jianwei; Liu, Wei; Pan, Zhao; Ling, Kang is a Medicine article available to read on EtoBox.

What is Comparative Study of Hydrochemical Classification Based on Different Hierarchical Cluster Analysis Methods about?

Traditional methods for hydrochemical analyses are effective but less diversified, and are constrained to limited objects and conditions. Given their poor accuracy and reliability, they are often used in complement or combined with other methods to solve practical problems. Cluster analysis is a multivariate statistical technique that extracts useful information from complex data. It provides new ideas and approaches to hydrogeochemical analysis, especially for groundwater hydrochemical classification. Hierarchical cluster analysis is the most widely used method in cluster analysis. This study compared the advantages and disadvantages of six hierarchical cluster analysis methods and analyzed their objects, conditions, and scope of application. The six methods are: The single linkage, complete linkage, median linkage, centroid linkage, average linkage (including between-group linkage and within-group linkage), and Ward’s minimum-variance. Results showed that single linkage and complete linkage are unsuitable for complex practical conditions. Median and centroid linkages likely cause reversals in dendrograms. Average linkage is generally suitable for classification tasks with multipl

Who reads Comparative Study of Hydrochemical Classification Based on Different Hierarchical Cluster Analysis Methods?

Author

Bu, Jianwei; Liu, Wei; Pan, Zhao; Ling, Kang

Publisher

MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: MDPI, 2003-; ScienceOpen (ISSN 1660-4601)

Published

2020

Language

EN

Field

Medicine (Health Sciences)