方法证据记录
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
分类方法记录 · mcdm / model-evaluation
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