Dimension Reduction Method by Principal Component Analysis in the Prediction of Final User Satisfaction

Kitti Koonsanit, Daiki Hiruma, Nobuyuki Nishiuchi. Dimension Reduction Method by Principal Component Analysis in the Prediction of Final User Satisfaction. In Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, editors, 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022, Kanazawa, Japan, July 2-8, 2022. pages 649-650, IEEE, 2022. [doi]

Abstract

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