Dimension Reduction Method by Principal Component Analysis in the Prediction of Final User Satisfaction - researchr publication authors

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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]

This author has not been identified. Look up 'Kitti Koonsanit' in GoogleThis author has not been identified. Look up 'Daiki Hiruma' in GoogleThis author has not been identified. Look up 'Nobuyuki Nishiuchi' in Google

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