Krahasoni metodat

	Divergjenca Kullback-Leibler	Distança Hellinger
Fusha	Vendimmarrja	Vendimmarrja
Familja	MCDM	MCDM
Viti i origjinës	1951	1909
Krijuesi	Solomon Kullback and Richard Leibler	Ernst Hellinger
Lloji	Asymmetric probability distribution dissimilarity	Symmetric metric for probability distributions
Burimi themelues	Kullback, S., & Leibler, R. A. (1951). On information and sufficiency. Annals of Mathematical Statistics, 22(1), 79-86.	Hellinger, E. (1909). Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen. Journal für die Reine und Angewandte Mathematik, 136, 210-271.
Emërtime të tjera	KL divergence, relative entropy, information divergence	Bhattacharyya distance, Hellinger metric
Të lidhura	2	2
Përmbledhja	Kullback-Leibler divergence, also called relative entropy or information divergence, measures the asymmetric difference between two probability distributions. Introduced by Solomon Kullback and Richard Leibler in 1951, this information-theoretic measure quantifies how one probability distribution diverges from a reference distribution, ranging from 0 (identical distributions) to infinity. It is foundational in information theory, machine learning, and decision-making with probabilistic frameworks.	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.