Helper to compute the Inverted Generational Distance (IGD) between two sets
of points.
computeInvertedGenerationalDistance(A, B, p = 1, normalize = FALSE,
dist.fun = computeEuclideanDistance)
Arguments
| A |
[matrix]
First point set (each column corresponds to a point). |
| B |
[matrix]
Second point set (each column corresponds to a point). |
| p |
[numeric(1)]
Parameter p of the average Hausdoff metric.
Default is 1. |
| normalize |
[logical(1)]
Should the front be normalized on basis of B?
Default is FALSE. |
| dist.fun |
[matrix]
Distance function to compute distance between points x and y. Expects a single
numeric vector d with the coordinate-wise differences di = (xi - yi).
Default is computeEuclideanDist. |
Value
[numeric(1)]