On the directional bias of the lbp-norm

Abstract The weighted sum of order p , the l bp -norm, is a generalization of the well-known l p -norm used in predicting distances in a transportation network. The properties of the directional bias function and the unit balls for the l bp -norm are of theoretical and practical interest. We investigate these properties and compare them with the properties of the l p -norm's directional bias function and the unit balls. We find that the l bp -norm is better at capturing the nonlinearity in a transportation network than the weighted l p -norm. It is also shown that, in contrast to the weighted l p -norm, where the optimal parameter p value is confined to the interval (1,2), for the l bp -norm the parameter p can have an optimal value greater than 2.

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