MCDMExternal Clustering Validation
V-measure
V-measure 由 Rosenberg 和 Hirschberg 于 2007 年提出，是一种基于同质性（homogeneity）和完备性（completeness）调和平均数的外部聚类评估指标。它衡量聚类是否仅包含来自单一真实类别的样本点（同质性），以及是否所有来自同一真实类别的样本点都被分配到同一个聚类中（完备性）。其值介于 0 和 1 之间。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Rosenberg, A., & Hirschberg, J. (2007). V-measure: A conditional entropy-based external cluster evaluation measure. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (pp. 410-420). link ↗
如何引用本页
ScholarGate. (2026, June 3). V-measure (Homogeneity and Completeness Harmonic Mean). ScholarGate. https://scholargate.app/zh/model-evaluation/v-measure
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.
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