This lecture discusses the derivation and use of a measure of similarity between two hierarchical clusterings, focusing on the Bk measure derived from the matching matrix. The lecture covers the process of cutting hierarchical trees, counting matching entries, and computing the Bk measure. Various plots and calculations are presented to illustrate the concept.
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