Procrustes transformation, often used in statistics and shape analysis, refers to a set of statistical methods aimed at matching two sets of data points by removing non-essential differences. The primary goal is to minimize the discrepancies between shapes while preserving the intrinsic geometrical structure. Here are the key components of Procrustes transformation: 1. **Shape Alignment**: The method is typically employed to align shapes represented by points in a Euclidean space.
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