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I have a distance matrix that I want to cluster. What methods can I use to cluster the elements just based on the distance matrix (beside hierarchical clustering)?

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  • $\begingroup$ I recommend you post clarifications as suggestions become available. What will work for you probably depends a great deal on your use case, but I understand that you might not know how to narrow the field before seeing some options. $\endgroup$ Jul 20 '13 at 7:28
  • $\begingroup$ I would like to point you to the fact that you can always obtain a cases X dimensions data from a distance matrix by multidimensional scaling. $\endgroup$
    – ttnphns
    Jul 20 '13 at 7:33
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    $\begingroup$ similar question stats.stackexchange.com/questions/2717/… I vote to delete my answer since I have found similar question that already has an answer. $\endgroup$ Jul 20 '13 at 8:48
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There are plenty of "distance based" clustering algorithms that can be used for any kind of similarity function (metrical or not).

For example DBSCAN and OPTICS, but there are literally hundreds more.

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