EGU22-9306
https://doi.org/10.5194/egusphere-egu22-9306
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Novel methods for deep clustering time series of high-dimension mass spectrometer data

Jonathan Taylor1, Sri Hapsari Budisulistiorini2, Jacqui Hamilton2, and David Topping1
Jonathan Taylor et al.
  • 1Centre for Atmospheric Science, University of Manchester, Manchester, United Kingdom
  • 2Wolfson Atmospheric Chemistry Laboratory, University of York, York, United Kingdom

How to cite: Taylor, J., Budisulistiorini, S. H., Hamilton, J., and Topping, D.: Novel methods for deep clustering time series of high-dimension mass spectrometer data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9306, https://doi.org/10.5194/egusphere-egu22-9306, 2022.

This abstract has been withdrawn on 10 May 2022.