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Hierarchical clustering is one of the standard methods taught for identifyingand exploring the underlying structures that may be present within a data set.Students are shown examples in which the dendrogram, a visual representation ofthe hierarchical clustering, reveals a clear clustering structure. However, inpractice, data analysts today frequently encounter data sets whose large scaleundermines the usefulness of the dendrogram as a visualization tool. Denselypacked branches obscure structure, and overlapping labels are impossible toread. In this paper we present a new workflow for performing hierarchicalclustering via the R package called protoshiny that aims to restorehierarchical clustering to its former role of being an effective and versatilevisualization tool. Our proposal leverages interactivity combined with theability to label internal nodes in a dendrogram with a representative datapoint (called a prototype). After presenting the workflow, we provide threecase studies to demonstrate its utility.

Interactive Exploration of Large Dendrograms with Prototypes