正準相関係数を最大とするファジィc-Meansクラスタリング法による介護ランクの分析(<一般演題>境界領域)

抄録

A new approach to canonical correlation analysis in which the Fuzzy c-Means clustering algorithm is simultaneously applied. Minimization of the within-group sum-of-squared-error and maximization of the canonical correlation coefficients yields memberships of fuzzy clusters and principal components of each cluster can be analyzed from a complex of statistical variables. The relation between ADL (activity of daily life) and care ranks of advanced aged persons is analyzed.