During my Master’s Thesis (pdf, blog entry), I experimented with quantifications of Recurrence Plots. One of my ideas, which seems promising but is still immature, is the Conditional Recurrence Time (CRT) plot. This article addresses people with experience in Recurrence Plots and Recurrence Quantification Analysis who are interested in a new approach to summarizing the information contained in Recurrence Plots, i.e. nonlinear system behavior.
This article covers experiences from combining clustering algorithms with Recurrence Analysis. The results originate from my Master’s Thesis, which was supervised by Prof. Leser at Humboldt-Universität zu Berlin, the German Research Centre for Geosciences and the Potsdam Institute for Climate Impact Research. This might be interesting for physicists and people working with nonlinear phenomena and time series ensembles. If you are interested in ideas, data, or software, I’d be happy to pass them on. For a brief introduction on Recurrence Plots, scroll to the end of the page, or refer to the excellent collection of materials at http://www.recurrence-plot.tk/.