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Hierarchical clustering

aims to form homogeneous groups (or clusters) from a set of n objects. It starts with n separate clusters, each containing one object. Then, at each of n-1 stages, two clusters are fused into one bigger cluster, until at the final stage all units are fused into a single cluster. The methods fuse the two closest clusters and vary in how closest is defined. For details see HCLUSTER.

Updated on December 4, 2017

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