?Jensen–Shannon?divergence（J-S散度） is a method of measuring the similarity between two?probability distributions.

It is based on the?Kullback–Leibler divergence（K-L散度）, with some notable

(and useful) differences, including that it is symmetric and it is always a finite value.

The Jensen–Shannon divergence (JSD)??is a symmetrized and smoothed version of the?Kullback–Leibler divergence?. It is defined by：

???where???

The Jensen–Shannon divergence is bounded by 1 for two probability distributions, given that one uses the base 2 logarithm.?? ?

For log base e, or ln, which is commonly used in statistical thermodynamics, the upper bound is ln(2):?? ?

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