Comments (5)
lmcinnes
commented on April 27, 2024
Thanks. As evidenced by issue #2 the current experimental code is not robust against some corner cases. I working to find and fix those now, and this will certainly be highly beneficial in understanding where and how I can make the code and algorithm more robust.
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lmcinnes
commented on April 27, 2024
You may also wish to try increasing the spread parameter to alleviate this. The default is 1.0, values more like 2.0 or higher may help to reduce the effect of such outliers. If it is a singleton outlier that may require some other changes in the code that I am working on.
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lmcinnes
commented on April 27, 2024
I just checked in some code that should help with this problem. See if you can pull from the latest master and rebuild and let me know if that helps. Thanks!
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sleighsoft
commented on April 27, 2024
Did this get resolved? Can the issue be closed?
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Yorko
commented on April 27, 2024
Yes, thanks!
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