Reasonably carry out multivariate analysis: nonmetric multidimensional scaling analysis
DOI:10.11886/scjsws20230814004
English keywords:Nonmetric  Similarity  Dissimilarity  Stress coefficient  Monotone regression transformation
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Author NameAffiliationAddress
Hu Chunyan Graduate School,Academy of Military Sciences PLA China 北京海淀厢红旗东门外甲1号
Hu Liangping Graduate School,Academy of Military Sciences PLA China 北京海淀厢红旗东门外甲1号
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English abstract:
      The purpose of this article was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the nonmetric multidimensional scaling analysis. Basic concepts included nonmetric, application occasions, basic ideas and stress coefficients; the calculation methods involved the definition of the order relationship between the research objects and the basic steps of the Kruskal algorithm; the data in the two examples were "survey results on misrecognition of English letters" and "survey results on the similarity of 6 candies"; with the help of SAS software, nonmetric multidimensional scaling analysis was carried out on the data in the two examples, and a reasonable explanation was made for the output results of SAS.
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