MCDMProbability distribution distance

Hellinger Distance

Hellinger distance is a symmetric, bounded metric that measures the difference between two probability distributions. Rooted in the work of Ernst Hellinger (1909) and later formalized in statistical divergence by Anil Bhattacharyya (1946), this distance ranges from 0 (identical distributions) to 1. It is a true metric satisfying all mathematical distance properties and is particularly well-suited for comparing probability distributions in a symmetric, numerically stable manner.

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Sources

  1. Hellinger, E. (1909). Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen. Journal für die Reine und Angewandte Mathematik, 136, 210-271. DOI: 10.1515/9781400882113-006
  2. Bhattacharyya, A. (1946). On a measure of divergence between two multinomial populations. Sankhya, 7, 401-406. link

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Referenced by

ScholarGateHellinger Distance (Hellinger Distance Metric). Retrieved 2026-06-04 from https://scholargate.app/tr/decision-making/hellinger-distance