Confronta i metodi

	Distanza di Canberra	Distanza di Hellinger
Campo	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM
Anno di origine	1967	1909
Ideatore	Geoffrey Lance and William Williams	Ernst Hellinger
Tipo	Normalized city-block distance	Symmetric metric for probability distributions
Fonte seminale	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
Correlati	1	2
Sintesi	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.