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Constructing and interpreting meaningful and useful graphical representations of data. (If your question is only about how to get particular software to produce a specific effect, then it is likely not on topic here.)

2 votes

Data visualization from hierarchical clustering

This is the most straightforward way to do this: # Ward Hierarchical Clustering d <- dist(mydata, method = "euclidean") # distance matrix fit <- hclust(d, method="ward") plot(fit) # display dendogra …
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