Procrustes distance is a way to measure similarity between two sets of vectors. Number of vectors must be the same for the two sets.

Sets of vectors are transformed using a rigid motion transformation (rotation, scaling and translation). After the transformations we sum the distances between the vectors, and that's called the Procrustes distance.

You can find the optimal rotation and scaling matrix using the Singular Value Decomposition ([[SVD]])

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