Why is it important to verify the integrity of results, i.e. length(labels)==length(results)?
Isn't it possible to use nmi for clustering with k that is different from number of labels?
I changed the script for my use so that it will accept this. should I upload?
Thanks a lot for sharing the codes. Can I ask one simple question?
As the ICML paper mentioned, in PR curve, recall values do not necessarily change linearly with precisions. Hence, the ROC curve is first constructed, and next, the PR curve is inferred from the ROC curve.
Could you please help confirm whether the provided codes do the similar stuff?
Thanks a lot