The clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses
Abstract. In hierarchical cluster analysis, dendrograms are used to visualize how
clusters are formed. I propose an alternative graph called a
“clustergram” to examine how cluster members are assigned to
clusters as the number of clusters increases. This graph is useful in
exploratory analysis for nonhierarchical clustering algorithms such as
k-means and for hierarchical cluster algorithms when the number of
observations is large enough to make dendrograms impractical. I present the
Stata code and give two examples.
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Matthias Schonlau
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dendrogram, tree, clustering, nonhierarchical, large data, asbestos
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