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Our recommendation to choose the hyperparameter is to start with radius=1, reduce it until the number of clusters is only slightly larger than expected, and then increase minPts until the right number of clusters are obtained.
Could we add a function like
clx.minPtsChange(minPts)
which just redoes the minPts phase without doing the rest.
Note that, if mergeTinyGroups==False, then the group merging also needs to be redone because it depends on minPts. Otherwise, it doesn't.
The text was updated successfully, but these errors were encountered:
Our recommendation to choose the hyperparameter is to start with radius=1, reduce it until the number of clusters is only slightly larger than expected, and then increase minPts until the right number of clusters are obtained.
Could we add a function like
clx.minPtsChange(minPts)
which just redoes the minPts phase without doing the rest.
Note that, if mergeTinyGroups==False, then the group merging also needs to be redone because it depends on minPts. Otherwise, it doesn't.
The text was updated successfully, but these errors were encountered: