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MCDMExternal Clustering Validation

V-mera

V-mera, koju su uveli Rosenberg i Hirschberg 2007. godine, predstavlja eksternu metriku evaluacije klasterovanja zasnovanu na harmonijskoj sredini homogenosti i potpunosti. Ona meri da li klasteri sadrže samo tačke iz jedne prave klase (homogenost) i da li su sve tačke iz prave klase dodeljene istom klasteru (potpunost). Vrednosti se kreću od 0 do 1.

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Izvori

  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

Kako citirati ovu stranicu

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

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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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Citirana u

ScholarGateV-measure (V-measure (Homogeneity and Completeness Harmonic Mean)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/model-evaluation/v-measure · Skup podataka: https://doi.org/10.5281/zenodo.20539026