Multidimensional scaling (MDS) is a statistical technique used to visualize the level of similarity or dissimilarity between individual data points in a multidimensional space. It transforms complex data into a lower-dimensional representation, making it easier to interpret and analyze relationships among data points. This technique is particularly useful in evolutionary studies, where it can help identify patterns and structures within biological data, such as genetic distances or phenotypic traits.
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