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Encoding Dimension vs MSE Accuracy of SOAP Spectra on MNIST: PCA, Linear, and Deep Autoencoders

Name: Encoding Dimension vs MSE Accuracy of SOAP Spectra on MNIST: PCA, Linear, and Deep Autoencoders
Creator: Morooka, Eiaki Von Roeder

Research datakeyboard_double_arrow_right Dataset 24 Feb 2025Publisher:Zenodo

Authors: Morooka, Eiaki Von Roeder;

doi: 10.5281/zenodo.14916886 , 10.5281/zenodo.14916887

Encoding Dimension vs MSE Accuracy of SOAP Spectra on MNIST: PCA, Linear, and Deep Autoencoders

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Abstract

This dataset contains numerical data for the plots that analyze the effect of encoding dimension on loss (MSE accuracy) for Smooth Overlap of Atomic Positions (SOAP) spectra computed on the MNIST handwritten digit dataset. The dataset includes results for three dimensionality reduction techniques: Principal Component Analysis (PCA) Linear Autoencoders Deep Autoencoders

Related Organizations

Helsinki Metropolia University of Applied Sciences
Finland
Tokyo City University
Japan
Nihon University
Japan

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