8000 Fix finding optimal resolution for clustering by mumichae · Pull Request #184 · theislab/scib · GitHub
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Fix finding optimal resolution for clustering #184

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Oct 4, 2020
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mumichae
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@mumichae mumichae commented Oct 4, 2020

Problem: Clustering does not use optimised resolution but last resolution of search space.
Solution: Corrected typo that broke finding optimal score for clustering.

This affects all metrics and other operations reliant on optimised clustering. If we have conclusions based on the clustering-based metrics, we might want to re-evaluate the metrics with this bugfix, if it is still feasible.

@mumichae mumichae requested a review from LuckyMD October 4, 2020 15:35
@LuckyMD LuckyMD merged commit fdd3043 into master Oct 4, 2020
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LuckyMD commented Oct 4, 2020

This is very problematic... We need to redo the NMI and ARI metrics for all benchmarking results...

@danielStrobl do you have any idea how long it would take to only run the NMI and ARI metrics again?

@mumichae could you write a script to only run the NMI and ARI metrics again and update the metrics outputs in the relevant files?

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mumichae commented Oct 4, 2020

Yes, I'll look into it tomorrow. If we only redo the 2 scores, it should be very fast, most time is spent on the preprocessing and other metrics.

@mumichae mumichae mentioned this pull request Oct 5, 2020
@mumichae mumichae deleted the fix_clustering branch September 16, 2021 13:40
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