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By using a group of patients, consisting of 54 cases of systemic lupus erythematosus (SLE) and 24 cases of progressive systemic sclerosis (PSS), the usefulness of 7 kinds of hierarchical cluster analysis for the classification of collagen disease was studied. Distance between two cases represented by multi-dimensional vector was measured with the binary Euclidean distance. By comparing the results of these cluster analyses, namely, Nearest Neighbour, Farthest Neighbour, Group Average, Centroid, Median, Ward's and Flexible Form method with those of other multivariate analyses and the clinical classification, the following conclusion was drawn : 1. Forty five of 54 cases of SLE and all of 24 cases of PSS were correctly diagnosed by the Ward's method, which gave the best coincidence with the clinical classification in 7 clustering techniques, while other 6 techniques could not give good classification. 2. Two types of cluster growth was shown. One, observed in the Nearest Neighbour, Centroid and Median methods, was the type that a single major group grew from the beginning of the clustering process and increased in size by the addition of single patient and of small groups of patients who should rather have formed separate groups and fused at lower level. Formation of several clusters of equal size in parallel was another type which was observed in the Farthest Neighbour, Ward's and Flexible Form methods. These tendencies of cluster formation were also expected from their mathematical background. The former characteristics can be used for exception elimination and the latter, for subclass setting. 3. From these results, Ward's method would be considered to be the most useful technique among 7 clustering methods to apply to the analysis of the collagen disease such as SLE and PSS. This is compatible with the conclusion from the mathematical analysis of these clustering methods.<BR>Relation of the cluster analysis to the factor analysis and linear discriminant function is also discussed.
- 一般社団法人 日本生体医工学会の論文
一般社団法人 日本生体医工学会 | 論文
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