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While running isosplit5_mex() I get the above warning, sometimes multiple times when running on a single data set. I tried running isosplit5() with max_iterations = 2^30 but the warning persists.
I do not understand what the algorithm does once it breaks from the iterations loop. Does it return the sub-optimal labels, or does it keep going after reassigning something?
I am curious if you think this warning is worth being concerned about and rerunning the clustering.
The text was updated successfully, but these errors were encountered:
the data are 3.5 GB -- pretty large for a basic test. I am guessing that there are duplicate points -- meaning more than one data point with the same coordinates.
Hi @nhemleben. Just to clarify... is this a warning or an error? (i.e., does it prevent the clustering from finishing)?
If you are able to run this in Python, it would be helpful to see if you get the same problem with the Python-wrapped version (which is available on PyPI). See: https://github.com/magland/isosplit5_python
While running isosplit5_mex() I get the above warning, sometimes multiple times when running on a single data set. I tried running isosplit5() with max_iterations = 2^30 but the warning persists.
I do not understand what the algorithm does once it breaks from the iterations loop. Does it return the sub-optimal labels, or does it keep going after reassigning something?
I am curious if you think this warning is worth being concerned about and rerunning the clustering.
The text was updated successfully, but these errors were encountered: