ScholarGate
助手
MCDMExternal Clustering Validation

归一化互信息

归一化互信息(NMI)由 Danon 等人在 2005 年推广,是一种基于信息论的外部聚类评估指标。它衡量预测聚类与真实标签之间共享信息的量,并将其归一化到 0 到 1 的尺度。值为 1 表示完美一致,值为 0 表示独立。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. 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

如何引用本页

ScholarGate. (2026, June 3). Normalized Mutual Information for Clustering Agreement. ScholarGate. https://scholargate.app/zh/model-evaluation/normalized-mutual-information

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateNormalized Mutual Information (Normalized Mutual Information for Clustering Agreement). 于 2026-06-15 检索自 https://scholargate.app/zh/model-evaluation/normalized-mutual-information · 数据集: https://doi.org/10.5281/zenodo.20539026