Adjustment For Chance
Like the Rand index, the baseline value of mutual information between two random clusterings does not take on a constant value, and tends to be larger when the two partitions have a larger number of clusters (with a fixed number of set elements N). By adopting a hypergeometric model of randomness, it can be shown that the expected mutual information between two random clusterings is:
where denotes . The variables and are partial sums of the contingency table; that is,
and
The adjusted measure for the mutual information may then be defined to be:
- .
The AMI takes a value of 1 when the two partitions are identical and 0 when the MI between two partitions equals to that expected by chance.
Read more about this topic: Adjusted Mutual Information
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