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Normalized Mutual Information

Normalized Mutual Information (NMI), popularized by Danon et al. in 2005, is an external clustering evaluation metric based on information theory. It measures the amount of information shared between a predicted clustering and ground truth labels, normalized to a scale between 0 and 1. A value of 1 indicates perfect agreement, while 0 indicates independence.

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Normalized Mutual Information for Clustering Agreement

Taksonomisk metoderegistrering · mcdm / model-evaluation

Danon, L., Diaz-Guilera, A., Duch, J., & Arenas, A. (2005). Comparing community structure identification. Journal of Statistical Mechanics: Theory and Experiment, 2005(09), P09008. · DOI 10.1088/1742-5468/2005/09/P09008

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