Library "FunctionMinkowskiDistance" Method for Minkowski Distance, The Minkowski distance or Minkowski metric is a metric in a normed vector space which can be considered as a generalization of both the Euclidean distance and the Manhattan distance. It is named after the German mathematician Hermann Minkowski. reference: en.wikipedia.org/wiki/Minkowski_distance
double(point_ax, point_ay, point_bx, point_by, p_value) Minkowsky Distance for single points. Parameters: point_ax: float, x value of point a. point_ay: float, y value of point a. point_bx: float, x value of point b. point_by: float, y value of point b. p_value: float, p value, default=1.0(1: manhatan, 2: euclidean), does not support chebychev. Returns: float
ndim(point_x, point_y, p_value) Minkowsky Distance for N dimensions. Parameters: point_x: float array, point x dimension attributes. point_y: float array, point y dimension attributes. p_value: float, p value, default=1.0(1: manhatan, 2: euclidean), does not support chebychev. Returns: float