Jensen–Shannon distance TODO. Will cover: Stationary-neighbourhood distributions pu,pvp_u, p_vpu,pv. JS(pu,pv)=12 KL(pu ∥ m)+12 KL(pv ∥ m)\mathrm{JS}(p_u, p_v) = \tfrac{1}{2}\, \mathrm{KL}(p_u \,\|\, m) + \tfrac{1}{2}\, \mathrm{KL}(p_v \,\|\, m)JS(pu,pv)=21KL(pu∥m)+21KL(pv∥m) with m=12(pu+pv)m = \tfrac{1}{2}(p_u + p_v)m=21(pu+pv). JS\sqrt{\mathrm{JS}}JS is a metric (Endres–Schindelin). IsHypergraphMetric instance status.