Jensen-Shannon divergence extends KL divergence to calculate a symmetrical score and distance measure of one probability distribution from ... ... <看更多>

The Kullback-Leibler Divergence is not a metric proper, since it is not symmetric and also, it does not satisfy the triangle inequality. ... <看更多>

The problem is that you don't have enough data to accurately compute KL-divergence using nearest neighbors. Even for large datasets, this particular ... ... <看更多>