Hu Chunyan,Hu Liangping,Cluster analysis of disordered samples: based on the methods of Mahalanobis distance and the intermediate distance[J].SICHUAN MENTAL HEALTH,2024,37(S1):60-65
Cluster analysis of disordered samples: based on the methods of Mahalanobis distance and the intermediate distance
DOI:10.11886/scjsws20240110004
English keywords:Disordered samples  Mahalanobis distance  Intermediate distance  Cluster analysis  Dendrogram
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Author NameAffiliationPostcode
Hu Chunyan Graduate School Academy of Military Sciences PLA China Beijing 100850 China 100850
Hu Liangping* Graduate School Academy of Military Sciences PLA China Beijing 100850 China
Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies Beijing 100029 China 
100029
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English abstract:
      The purpose of this article was to introduce the basic concepts, calculation methods, two examples and the calculation methods using SAS related to the cluster analysis of disordered samples. Basic concepts included the definition of distance between samples, the definition of classes, and the characteristics of classes. The calculation method involved the Mahalanobis distance calculation formula and the intermediate distance calculation formula. The data in the two examples were "survey data reflecting air pollution conditions in 39 cities in the United States" and "measurement results of the percentage content of 16 fatty acids in 24 strains". With the help of SAS software, cluster analysis of disordered samples was performed on the data in the two examples, and the explanation of the SAS output results was given.
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