Usurp

Coresets for Supervised Learning using Unsupservised Learning

First generate embeddings for your data as a np file, then use save_distances.py to do clustering.
Then you can use those distances with main.py for coreset selection.
I am using python 3.10.4

TODO:

Explore different sampling techniques