2008Communications in Mathematical SciencesOpen access

Metrics defined by Bregman Divergences

Pengwen Chen, Y. Chen, Malode Vishwanatha Panduranga Rao

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Abstract

Bregman divergences are generalizations of the well known Kullback-Leibler divergence.They are based on convex functions and have recently received great attention.We present a class of "squared root metrics" based on Bregman divergences.They can be regarded as natural generalization of Euclidean distance.We provide necessary and sufficient conditions for a convex function so that the square root of its associated average Bregman divergence is a metric.

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Bregman divergences are generalizations of the well known Kullback-Leibler divergence.They are based on convex functions and have recently received great attention.We present a class of "squared root metrics" based on Bregman divergences.They can be regarded as natural generalization of Euclidean distance.We provide necessary and sufficient conditions for a convex function so that the square root of its associated average Bregman divergence is a metric.

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Available abstract

Bregman divergences are generalizations of the well known Kullback-Leibler divergence.They are based on convex functions and have recently received great attention.We present a class of "squared root metrics" based on Bregman divergences.They can be regarded as natural generalization of Euclidean distance.We provide necessary and sufficient conditions for a convex function so that the square root of its associated average Bregman divergence is a metric.

Key concepts: Bregman divergence, Applied mathematics, Mathematics, Physics, Computer science, Mathematical analysis

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