Hu Chunyan,Hu Liangping,Cluster analysis of disordered samples: based on the methods of oblique intersection space distance and the average distance[J].SICHUAN MENTAL HEALTH,2024,37(S1):66-70
Cluster analysis of disordered samples: based on the methods of oblique intersection space distance and the average distance
DOI:10.11886/scjsws20240110005
English keywords:Disordered samples  Oblique intersection space distance  Average 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 the paper 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 R2 statistic, semi-partial R2 statistic, pseudo F statistic and pseudo t2 statistic. The calculation methods involved the oblique intersection space distance calculation formula and the average distance calculation formula. The data in the two examples were "population growth and decline data of stem borer in a certain area from 1962 to 1988" and "scores of 10 types of red wines on 6 indicators". 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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