Journal
STATA JOURNAL
Volume 2, Issue 4, Pages 391-402Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1536867X0200200405
Keywords
st0028; dendrogram; tree; clustering; nonhierarchical; large data; asbestos
Funding
- RAND Institute of Civil Justice
- RAND statistics group
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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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