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DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps [article]

Laura Manduchi, Matthias Hüser, Julia Vogt, Gunnar Rätsch, Vincent Fortuin
2020 arXiv   pre-print
On medical time series, we show that T-DPSOM outperforms baseline methods in time series clustering and time series forecasting, while providing interpretable visualizations of patient state trajectories  ...  ) using a VAE, and (c) extend our architecture for time-series clustering (T-DPSOM), which also allows forecasting in the latent space using LSTMs.  ...  Acknowledgments This project was supported by the grant #2017-110 of the Strategic Focus Area "Personalized Health and Related Technologies (PHRT)" of the ETH Domain.  ... 
arXiv:1910.01590v3 fatcat:lrvegijrsbez5ansxpe2z432cu