Abstract：
: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 multiple samples and big data. However, Ward's minimum-variance achieved better results for fewer samples and variables.
journal_name
Int J Environ Res Public Healthauthors
Bu J,Liu W,Pan Z,Ling Kdoi
10.3390/ijerph17249515subject
Has Abstractpub_date
2020-12-18 00:00:00issue
24eissn
1661-7827issn
1660-4601pii
ijerph17249515journal_volume
17pub_type
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journal_title：International journal of environmental research and public health
pub_type： 杂志文章
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更新日期：2017-03-29 00:00:00
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更新日期：2019-11-04 00:00:00
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更新日期：2019-11-21 00:00:00
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更新日期：2010-01-01 00:00:00
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更新日期：2019-04-27 00:00:00
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更新日期：2019-05-29 00:00:00
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更新日期：2020-03-17 00:00:00
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更新日期：2019-06-04 00:00:00
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pub_type： 杂志文章
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更新日期：2016-11-07 00:00:00
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更新日期：2019-10-12 00:00:00
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pub_type： 杂志文章,评审
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更新日期：2019-01-31 00:00:00
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更新日期：2019-04-02 00:00:00
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journal_title：International journal of environmental research and public health
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更新日期：2019-10-01 00:00:00
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pub_type： 历史文章,杂志文章
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更新日期：2018-11-13 00:00:00
