# Partitioning Around Medoids (PAM) in Julia

**URL:** <https://discourse.julialang.org/t/partitioning-around-medoids-pam-in-julia/50879>\
**Category:** Machine Learning\
**Tags:** clustering\
**Created:** [November 27, 2020, 10:03pm UTC](https://discourse.julialang.org/t/partitioning-around-medoids-pam-in-julia/50879 "2020-11-27T22:03:26Z")\
**Posts on this page:** 1\
**Showing post:** 8

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**Author:** ![anon92994695](https://avatars.discourse-cdn.com/v4/letter/a/ce7236/32.png) [@anon92994695](https://discourse.julialang.org/u/anon92994695)\
**Post date:** [November 29, 2020, 3:21am UTC](https://discourse.julialang.org/t/partitioning-around-medoids-pam-in-julia/50879/8 "2020-11-29T03:21:27Z")

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@mthelm85  
If the code is clean enough to share I recommend taking it to Slack and going to the @performance-helpdesk chat and asking for pointers :). I could probably help a little but the people in there can teach you some awesome stuff.

Also great job. One small recommendation I have is - when there isn’t a rigorous/analytic test to make, compare a couple empirical datasets. At the end of the day, exact matches aren’t required, but they can indicate issues early on before someone tries to scale up:).

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