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Cophenetic correlation
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<p>In <a href="/facts/Statistics/DNPsKGYU">statistics</a>, and especially in <a href="/facts/Biostatistics/Sv5s38Kh">biostatistics</a>, cophenetic correlation (more precisely, the cophenetic correlation coefficient) is a measure of how faithfully a <a href="/facts/Dendrogram/FI8EMSEv">dendrogram</a> preserves the pairwise distances between the original unmodeled data points. Although it has been most widely applied in the field of biostatistics (typically to assess cluster-based models of <a href="/facts/DNA/nB89Iauz">DNA</a> sequences, or other <a href="/facts/Taxonomy_(biology)/Qkg8wuyw">taxonomic</a> models), it can also be used in other fields of inquiry where raw data tend to occur in clumps, or clusters. This coefficient has also been proposed for use as a test for nested clusters. </p>