主催: バイオメディカル・ファジィ・システム学会
会議名: 第34回バイオメディカル・ファジィ・システム学会年次大会
回次: 34
開催地: オンライン (一部、奈良学園大学登美ケ丘キャンパスよりライブ配信)
開催日: 2021/12/25 - 2021/12/26
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This paper proposed a new method of grouping after principal component analysis. First, we argued that normalized principal component scores should be used in order to compare many results with each other. Using these scores, we also proposed two ways in grouping of the members in two-dimensional maps: box plots and ellipse plots. This method is an excellent way to classify all people according to their tendencies or to select extreme people based on rules. The advantage of this method is that no one is left out in the classification. Also, the percentage can be freely decided, and the classification is calculated automatically. The nine classified areas can be given meaning.