To clarify (or not :):

  1. A 'cluster' is a rectangular subset of @sim?
  2. The density of the cluster is the average of the values in the cluster?

    Eg. sum( @sim[top..bottom; left..right] ) / (bottom-top) * (right-left); (pretending that we could do 2D slices).

Which would make the problem: Find the rectangular subset with the largest average value; and if two subsets have the same average, favour the largest subset?

Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
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In the absence of evidence, opinion is indistinguishable from prejudice.
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In reply to Re: Finding The Best Cluster Problem by BrowserUk
in thread Finding The Best Cluster Problem by neversaint

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