Helios De Rosario

> For Pyunicorn it seems to me that the function being benchmarked is: [`rqa_summary`](http://www.pik-potsdam.de/~donges/pyunicorn/api/timeseries/recurrence_plot.html?highlight=rqa_summary#pyunicorn.timeseries.recurrence_plot.RecurrencePlot.rqa_summary). The docstring states that it computes "the recurrence rate RR, the determinism DET, the average diagonal...

Yes, it was about the skeletonization algorithm (#128 ). It resulted that the algorithm that is used to make the histograms works better the more sparse are the matrices. This...

Agreed, we can consider it, although there are some decisions to make about it: 1. I see no problem in creating a `CrossRecurrenceMatrix` out of any kind of view of...

> I can see how this will make some "problems" if one uses the view with downstream `rqa` functions, because they implicitly assume some kind of normalization that stems from...

Unfortunately, not that easy. The data inside recurrence matrices are sparse matrices, and some methods use specific functions for such matrices, like `nnz`, `rowvals`, etc. But those functions do not...