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The clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses

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  • Matthias Schonlau

    (RAND)

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. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Matthias Schonlau, 2002. "The clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses," Stata Journal, StataCorp LLC, vol. 2(4), pages 391-402, November.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:4:p:391-402
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    References listed on IDEAS

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    1. David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, December.
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