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The minPoints parameter refers to k nearest neighbors around each point which make a circle and the point itself and these k points make primary cluster at very early stages of algorithm. (minPoints=k+1)
While, the minClusterSize, is used in last stages in order to merge clusters and build a denser hierarchy.
you can find a good explanation here https://hdbscan.readthedocs.io/en/latest/how_hdbscan_works.html
hello,
Could you please explain the difference between parameters minClusterSize and minPoints?
thanks,
Omer.
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