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

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dc.creatorSchonlau, Matthias
dc.date2017-04-01T14:06:21Z
dc.date.accessioned2026-07-09T05:47:18Z
dc.descriptionIn 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.
dc.identifierOther:st0028
dc.identifierdoi:10.22004/ag.econ.116024
dc.identifierhttps://ageconsearch.umn.edu/record/116024/files/sjart_st0028.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/116024
dc.identifier.urihttp://hdl.handle.net/123456789/568357
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/116024
dc.titleThe clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses
dc.typeText

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