Hi,
Is there a way (already existing) , whereby we can get the variance about
the mean/cluster center (chosen by clustering algorithm) of all the samples
belonging to that cluster.
If not, is the following approach optimal?
For each cluster label:
For all ids belonging to this cluster label:
Find variance from Sequence[ids] about mean/cluster center
Also, what is the best way to deal with outliers while performing
clustering. I saw that DBSCAN would inherently do that.
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