Hello,
Following the python book of Martin Trauth, I'm trying to calculate the recurrence plots for time series measuring the displacement of the ground.
These times series are taken on broad areas in France and UK and I would like to test whether RP and CNN models can help me cluster/classify them to subsequently analyse them by groups.
Following the book and the section written by Norbert Marwan, I started with the assumption that the phase space is only one-dimensional (the displacement) from which I can calculate the symmetric distance matrix S and apply a threshold to create the RP.
Is this a first correct approach? meaning I don't need to use an embedding dimension m nor a time-delay tau ? or I am missing something ?
Any help would be appreciable,
Best Regards,
nicolas