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@Avid29 Avid29 commented Oct 10, 2025

The DBScan step runs after KMeans to merge clusters that are too similar.

KMeans cannot be refined on its own to not have this issue, since it simply clusters to K points. Determining the right number for K is no better than just merging the results with another clustering method.

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