On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means

The Jensen–Shannon divergence is a renowned bounded symmetrization of the unbounded Kullback–Leibler divergence which measures the total Kullback–Leibler divergence to the average mixture distribution. However, the Jensen–Shannon divergence between Gaussian distributions is n...

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Autore principale:	Frank Nielsen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2019-05-01
Serie:	Entropy
Soggetti:	Jensen–Shannon divergence Jeffreys divergence resistor average distance Bhattacharyya distance f-divergence Jensen/Burbea–Rao divergence Bregman divergence abstract weighted mean quasi-arithmetic mean mixture family statistical M-mixture exponential family Gaussian family Cauchy scale family clustering
Accesso online:	https://www.mdpi.com/1099-4300/21/5/485
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