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V Measure#

V Measure is an entropy-based clustering metric that balances homogeneity and completeness. It has the additional property of being symmetric in that the predictions and ground-truth can be swapped without changing the score.

Estimator Compatibility: Clusterer

Output Range: 0 to 1

Example#

use Rubix\ML\CrossValidation\Metrics\VMeasure;

$metric = new VMeasure();

References#

  • A. Rosenberg et al. (2007). V-Measure: A conditional entropy-based external cluster evaluation measure.