Issue: Understanding CLUTO metrics
So there might be clusters which suck - too sparse, not good "enough" internal similarity - too "high" external similarity (not tight and separated from the other clusters).
CLUTO provides iSim, etc. metrics. How do I know what's a good number?
Maybe - using the visualization features I can determine the cluster quality?
CLUTO provides iSim, etc. metrics. How do I know what's a good number?
Maybe - using the visualization features I can determine the cluster quality?
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