| Hu Chunyan,Hu Liangping,Cluster analysis of disordered samples： based on the methods of Euclidean distance and the minimum distance[J].SICHUAN MENTAL HEALTH,2024,37(S1):48-53 |
| Cluster analysis of disordered samples： based on the methods of Euclidean distance and the minimum distance |
DOI：10.11886/scjsws20240110002 |
| English keywords:Disordered samples Euclidean distance Minimum distance Cluster analysis Dendrogram |
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| 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 disordered samples and ordered samples， factors affecting distance calculation， clustering rules， hierarchical clustering and its two steps， and the difference between the clustering data and the classification data. The calculation methods involved the Minkowski distance （including Euclidean distance） calculation formula and the minimum distance calculation formula. The data in the two examples were "body morphological data of 16-year-old boys from 27 ethnic minorities in China" and "labor health supervision data of 14 provinces and municipalities in China in 1995". 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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