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

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 di...

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Bibliographic Details
Main Author: Frank Nielsen
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Entropy
Subjects:
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
Online Access:https://www.mdpi.com/1099-4300/21/5/485

Internet

https://www.mdpi.com/1099-4300/21/5/485

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