Calculate the probability of missing a given population...

Given a number of (2D) configurations, this function uses a combination of transformations (reflections, rotations, translations and scaling) to find a 'consensus' configuration which best matches all the component configurations in a least-squares sense.

1 |

`X` |
a list of dissimilarity matrices |

`scale` |
boolean flag indicating if the transformation should include the scaling operation |

a two column vector with the coordinates of the group configuration

procrustes

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