You're describing a clustering problem. If you know how many clumps you want to end up with, you
can run a k-means
clustering algorithm, which is just a mathematical formulation of Notromda
Because you have a desired maximum distance, you can choose the number of clusters (K) by starting with K=1,
and running k-means clustering. If the distance between elements in any cluster is too big, increment K and recluster.
Iterate until until all clusters meet the maximum distance criterion.
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