Clusters based on height

In previous exercises, you have grouped your observations into clusters using a pre-defined number of clusters (k). In this exercise, you will leverage the visual representation of the dendrogram in order to group your observations into clusters using a maximum height (h), below which clusters form.

You will work the color_branches() function from the dendextend library in order to visually inspect the clusters that form at any height along the dendrogram.

The hc_players has been carried over from your previous work with the soccer line-up data.

This exercise is part of the course

Cluster Analysis in R

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Exercise instructions

Create a dendrogram object dend_players from your hclust result using the function as.dendrogram().
Plot the dendrogram.
Using the color_branches() function create & plot a new dendrogram with clusters colored by a cut height of 20.
Repeat the above step with a height of 40.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

library(dendextend)
dist_players <- dist(lineup, method = 'euclidean')
hc_players <- hclust(dist_players, method = "complete")

# Create a dendrogram object from the hclust variable
dend_players <- as.dendrogram(___)

# Plot the dendrogram


# Color branches by cluster formed from the cut at a height of 20 & plot
dend_20 <- color_branches(___, h = ___)

# Plot the dendrogram with clusters colored below height 20


# Color branches by cluster formed from the cut at a height of 40 & plot
dend_40 <- ___

# Plot the dendrogram with clusters colored below height 40

Edit and Run Code