Comparer des méthodes

	Distance de Canberra	Distance de Hellinger
Domaine	Prise de décision	Prise de décision
Famille	MCDM	MCDM
Année d'origine	1967	1909
Auteur d'origine	Geoffrey Lance and William Williams	Ernst Hellinger
Type	Normalized city-block distance	Symmetric metric for probability distributions
Source fondatrice	Lance, G. N., & Williams, W. T. (1967). A general theory of classificatory sorting strategies. Computer Journal, 10(3), 271-277.	Hellinger, E. (1909). Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen. Journal für die Reine und Angewandte Mathematik, 136, 210-271.
Alias	Canberra metric, normalized Manhattan distance	Bhattacharyya distance, Hellinger metric
Apparentées	1	2
Résumé	Canberra distance is a weighted version of the Manhattan distance that normalizes differences by the sum of absolute values. Introduced by Geoffrey Lance and William Williams in 1967 as part of their work on clustering classification methods, this metric emphasizes differences in small values and is sensitive to changes in relative proportions. It is commonly used in taxonomy, ecology, decision-making, and any application where normalized relative differences matter.	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.