Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series

Daniel J. Trosten, Andreas S. Strauman, Michael Kampffmeyer +1

The task of clustering unlabeled time series and sequences entails a particular set of challenges, namely to adequately model temporal relations and variable sequence lengths. If t…