Hi everyone,
I am interested in using the sklearn implementation of k means to estimate
clusters of unit vectors on the surface of a sphere.
This requires that the distance metric be changed from the current
Euclidean distance metric to angles.
Is there any easy way to achieve that with the current implementation? If
not, where would be a good place to start digging in the code to make that
possible?
Thanks in advance,
Ariel
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