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A dissimilarity matrix is a square matrix used in clustering and other data analysis techniques to represent the pairwise dissimilarities between a set of objects. It is fundamental in understanding the structure of data, as it provides a basis for algorithms to group similar objects together and differentiate distinct ones based on calculated distances or dissimilarity measures.
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