Sammon mapping is a technique used in the field of multidimensional scaling and dimensionality reduction. It is particularly useful for visualizing high-dimensional data in lower-dimensional spaces, typically two or three dimensions. The method aims to preserve the pairwise distances between data points as well as possible when projecting them into a lower-dimensional space.
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