(19-10-2025, 09:04 AM)MarcoP wrote: You are not allowed to view links. Register or Login to view.I am not sure I understand correctly, but the PCA K=2 plots show a single outlier at the top that makes the plots basically useless? Is it so? Or maybe it's a set of samples that generate identical outlier dots?
Anyway, if that actually is the situation, investigating and removing, or fixing, that sample (or samples) could improve the quality of the overall analysis.
Yes, it is an outlier, it is You are not allowed to view links. Register or Login to view. paragraph starting at position 7. I am not sure exactly why that outlier exists and should investigate. It is neither a pure topic 0 or pure topic 1 or pure 50%/50%... I just left it as it is. I have noted it for investigate later.


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