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多変量データの漢字グラフ表現とクラスタリングへの応用
Kanji graph representation for multivariate data and its application to cluster analysis
1988
Keisanki tokeigaku
Kanji graph representation for multivariate data and its application to cluster analysis
Preserved Fulltext
A Kttnji graph is proposed as a graphical representation for rriultivariate data. This method is also compared, by some illustrations, with the dendrogram in cluster analysis, the Face graph and the plets of principal component scores. Advantages of this method is discussed about recovering the original data value and the visual point for clustering .
doi:10.20551/jscswabun.1.1_11
fatcat:p4ikxgwrx5cfbkk56btw7xuaky