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	Dissimilarità di Bray-Curtis	Distanza di Hellinger
Campo	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM
Anno di origine	1957	1909
Ideatore	John Bray and John T. Curtis	Ernst Hellinger
Tipo	Ecological community similarity measure	Symmetric metric for probability distributions
Fonte seminale	Bray, J. R., & Curtis, J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349.	Hellinger, E. (1909). Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen. Journal für die Reine und Angewandte Mathematik, 136, 210-271.
Alias	Bray-Curtis index, Sorensen-Bray-Curtis, percentage difference	Bhattacharyya distance, Hellinger metric
Correlati	3	2
Sintesi	Bray-Curtis dissimilarity is a quantitative measure of compositional difference between two samples, widely used in ecology and community analysis. Introduced by John Bray and John T. Curtis in 1957 for comparing forest communities, this index ranges from 0 (identical composition) to 1 (completely different). It is sensitive to abundance differences and is particularly effective for abundance data such as species counts, microbial populations, or preference intensities.	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.