I am interested in visualizing the results of a hierarchical cluster analysis. Is it possible to use a dendrogram to display the names or labels of clusters (and subclusters) without displaying the original cases that went into the cluster analysis?
For example, this code applies a hierarchical cluster analysis to the mtcars dataset.
data("mtcars")
clust <- hclust(get_dist(mtcars, method = "pearson"), method = "complete")
plot(clust)
Let's say I cut the tree at 4 clusters and rename the clusters "sedan", "truck", "sportscar", and "van" (totally arbitrary labels).
clust1 <- cutree(clust,4)
clust1 <- dplyr::recode(clust1,
'1'='sedan',
'2'='truck',
'3'='sportscar',
'4'='van')
Is it possible to display a dendrogram which shows these four labels as the nodes on the bottom of the tree, suppressing the names of the original car names?
I am also interested in displaying subclusters within clusters in a similar way, but that may be outside the scope of this question. Bonus points if you can also give a suggestion for how to display subclusters within clusters in a dendrogram while suppressing the names of the original cases! :)
Thank you in advance!