Unsupervised representation learning for clustering SEIS data in continuous records with deep scattering network
Salma Barkaoui1, Philippe Henri Lognonné2, Maarten Dehoop3, Melanie Drilleau2, Taichi Kawamura4, Eleonore Stutzmann2, Martin van Driel5, Balthasar Kenda2, Grégory Sainton1, Leonard Seydoux6, John F Clinton7, Martin Schimmel8 and Naomi Murdoch9, (1)Université de Paris, Institut de physique du globe de Paris, CNRS, F-75005 Paris, France, Planetology and space science, Paris, France, (2)Université de Paris, Institut de physique du globe de Paris, CNRS, Paris, France, (3)Rice University, Computational and applied mathematics, Houston, TX, United States, (4)Université de Paris, Institut de physique du globe de Paris, Paris, France, (5)ETH Zurich, Department of Earth Sciences, Institute of Geophysics, Zurich, Switzerland, (6)Université Grenoble Alpes, Science de la terre, Grenoble, France, (7)ETH Zurich, Zurich, Switzerland, (8)ICTJA-CSIC, Barcelona, Spain, (9)Institut Superieur de l’Aeronautique et de l’Espace, Toulouse, France