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Describe the solution you'd like
Speed up KDE calculation by random sampling
Describe alternatives you've considered
None
Additional context
The KDE process takes a long time with large and/or compact input samples. Implementing random sampling within the input sample to search for the KDE peak could help speed up the process. However, the optimal sampling size requires further testing. Over-sampling can lead to inaccuracies, causing the KDE peak to no longer reflect the true density peak.
The text was updated successfully, but these errors were encountered:
Describe the solution you'd like
Speed up KDE calculation by random sampling
Describe alternatives you've considered
None
Additional context
The KDE process takes a long time with large and/or compact input samples. Implementing random sampling within the input sample to search for the KDE peak could help speed up the process. However, the optimal sampling size requires further testing. Over-sampling can lead to inaccuracies, causing the KDE peak to no longer reflect the true density peak.
The text was updated successfully, but these errors were encountered: