Comments (1)
Hi jone,
We used 10 clusters to align with the level of supervision that the most recent methods at the time (Ojha et al.) were aimed at.
Regarding the code, here's my current uncommented file: eval_diversity.txt
It's based on Ojha's code.
Be sure to convert the extension to .py (github doesn't allow uploading py files as part of the response...).
You can flip between the k_med and data-centered versions by just commenting out the lines at the bottom (and commenting out the kmeds version). Let me know if you have any issues with it and I'll try to help / clean up the script.
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