Jensen-Shannon divergence and Hilbert space embedding

This paper describes the Jensen-Shannon divergence (JSD) and Hilbert space embedding. With natural definitions making these considerations precise, one finds that the general Jensen-Shannon divergence related to the mixture is the minimum redundancy, which can be achieved by the observer. The set of distributions with the metric √JSD can even be embedded isometrically into Hilbert space and the embedding can be identified.