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I have a dataset of 488 GPS points which I would like to break up into small clusters. The maximum number of points per cluster should be 3.

I have tried the K-means clustering tool in Vector Analysis, however this does not give me the option to set a maximum amount of points, only a minimum. Similarly I have tried the ConcaveHull plugin, but I don't think a maximum number of points can be set with this either.

I am using QGIS.

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  • If you wish to ask about ArcMap or R then please do that in a separate question and for the latter include a code attempt. Commented Jun 30, 2023 at 10:50
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    Any other rules? Minimum number of points? Maximum distance? As it stands your requirements could be satisfied by 488 clusters of 1 :) Commented Oct 12, 2023 at 5:05

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I recently had a similar challenge. When searching, I found the python script from the link at https://spatialthoughts.com/2021/01/31/equal-sized-kmeans-qgis/. See if it works for you.

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    Please expand your answer by including a code section and explaining why this solution solves the issue. Just posting a link isn't really an answer, it's more of a comment. Please see here on how to give a good answer. Commented Oct 12, 2023 at 10:30

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