X-Nico

2 unusual facts about Kullback–Leibler divergence


Consensus clustering

We can define a distance measure between two instances using the Kullback–Leibler (KL) divergence, which calculates the “distance” between two probability distributions.

Kullback–Leibler divergence

It was originally introduced by Solomon Kullback and Richard Leibler in 1951 as the directed divergence between two distributions.


Pinsker's inequality

The inequality in the above form was proved independently by Kullback, Csiszár, and Kemperman.


see also