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cs.SI2025
Normalized mutual information is a biased measure for classification and community detection
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that result…
cs.SI2024
Mutual information and the encoding of contingency tables
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Mutual information is commonly used as a measure of similarity between competing labelings of a given set of objects, for example to quantify performance in classification and comm…