Mikovski Metric
δ(xk,xl)=[i=1∑d∣xki−kli∣s]1/s
Euclidean Distance
δE(xk,xl)=[(xk−xl)T(xk−xl)]1/2
City Block Distance / Manhattan Distance
δ(xk,xl)=i=1∑d∣xki−xli∣
Chobychev Distance
δ(xk,xl)=imax∣xki−xli∣
Squared Distance
δ(xk,xl)=(xk−xl)TQ(xk−xl)
Nonlinear Distances
δ(xk,xl)={H0if δE(xk,xl)≥T if δE(xk,xl)<T