Computes the least-squares scalar \(\alpha\) that aligns estimated
distances to true distances:
$$\alpha^* = \frac{\sum_{i<j} \hat D_{ij}D_{ij}}
{\sum_{i<j} \hat D_{ij}^2}.$$
Usage
isometry.scale(D.estimated, D.true, true.tol = sqrt(.Machine$double.eps))
Arguments
- D.estimated
Estimated distance matrix or dist object.
- D.true
Ground-truth distance matrix or dist object.
- true.tol
Non-negative tolerance. Pairs with true distance less than
or equal to this value are excluded from relative metrics.
Value
Numeric scalar calibration scale.