@article{oai:nagoya.repo.nii.ac.jp:00002403,
 author = {潘, 益平 and PAN, Yiping},
 journal = {名古屋大學教育學部紀要. 教育心理学科},
 month = {Dec},
 note = {In the present paper, a new clustering method by fuzzy operation is proposed. This method is to transform an original data matrix to a similarity matrix, by using fuzzy operations and the resulting similarity matrix is used to the base of clustering the objects. In the result, the new distance measure defined from the similarity matrix satisfies the ultrametrix inequality proposed by Johnson (1967), and this method only uses rank order informations in the orginal data matrix so the result from this method is invariant under monotoric transformation, the clusters obtained from this method have hierarchical structure. This new clustering method proves to be valid on the example data, and further studies are needed in order to confirm the relationship between the new method and minimum method, maximum method proposed by Johnson (1967)., 国立情報学研究所で電子化したコンテンツを使用している。},
 pages = {181--189},
 title = {<原著>データの分類とファジィ演算},
 volume = {37},
 year = {1990}
}