Autoencoders as an alternative approach to principal component analysis for dimensionality reduction. An application on simulated data from psychometric models

Monica Casella, Pasquale Dolce, Michela Ponticorvo, Davide Marocco. Autoencoders as an alternative approach to principal component analysis for dimensionality reduction. An application on simulated data from psychometric models. In Onofrio Gigliotta, Michela Ponticorvo, editors, Proceedings of the Third Symposium on Psychology-Based Technologies, Virtual Event, Naples, Italy, 4-5 October, 2021. Volume 3100 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

Abstract

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