Hi everyone,
I'm trying to use some dimension reduction algorithm [1] on my dataset
[2] in a
python script [3] but for some reason, Python seems to consume a lot of my
main memory and even swap on my configuration [4] so I don't have the
expected result
but a memory error instead.
I have the impression that this behaviour is not intended so can you
help me know
what I did wrong or miss somewhere please?
[1]: MDS -
http://scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html
[2]: dragon.csv - 69827 rows, 3 columns (x,y,z)
[3]: dragon.py - 10 lines
[4]: dragon_swap.png - htop on my workstation
TAR archive:
https://drive.google.com/open?id=1d1S99XeI7wNEq131wkBUCBrctPQRgpxn
Best regards,
Guillaume Favelier
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