I'm new to Python (and to coding in general), so this question may be trivial. I need to compute persistent homology for a high dimensional dataset ( d ~ 1000) embedded in a vector space, but I'm having some troubles:
First, I don't even know if it's possible having such a high dimensional dataset, so the first question is, can it be done? Note that I only need the barcode diagram for H0 and H1.
Second, if it can be done, how should I do it and which function/library should I use? I have looked online but haven't found much.
Any suggestion is accepted, since I really have no idea on how to procede. Having something I can just copy and paste would be amazing. :D
Thank you very much!
