MDS, or Multi-Dimensional Scaling, is a statistical technique used for dimensionality reduction and data visualization. An MDS matrix generally refers to the distance or dissimilarity matrix that serves as the input for the MDS algorithm. This matrix contains pairwise dissimilarity measures (such as Euclidean distance, Manhattan distance, or other metrics) between a set of objects or data points.
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