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MCDMExternal Clustering Validation

V-measure

V-measure, introduceret af Rosenberg og Hirschberg i 2007, er en ekstern evalueringsmetrik for klyngeanalyse baseret på det harmoniske gennemsnit af homogenitet og komplethed. Den måler, om klynger kun indeholder punkter fra én sand klasse (homogenitet), og om alle punkter fra en sand klasse er tildelt den samme klynge (komplethed). Værdier spænder fra 0 til 1.

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Kilder

  1. 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

Sådan citerer du denne side

ScholarGate. (2026, June 3). V-measure (Homogeneity and Completeness Harmonic Mean). ScholarGate. https://scholargate.app/da/model-evaluation/v-measure

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Refereret af

ScholarGateV-measure (V-measure (Homogeneity and Completeness Harmonic Mean)). Hentet 2026-06-15 fra https://scholargate.app/da/model-evaluation/v-measure · Datasæt: https://doi.org/10.5281/zenodo.20539026