Hi all, I am using DBSCAN to cluster a dataset consisting of an individual's weight (in kg) and height (in cm). What I am doing now is to cluster the weights first and then do another clustering on the heights from each weight cluster. This method is not efficient and will not scale with larger datasets.
Is there a better way to perform clustering one time on both the weights and heights, but with different epsilon and minpoints?
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