Linkage methods
In this exercise, you will produce hierarchical clustering models using different linkages and plot the dendrogram for each, observing the overall structure of the trees.
You'll be asked to interpret the results in the next exercise.
This exercise is part of the course
Unsupervised Learning in R
Exercise instructions
- Produce three hierarchical clustering models on
xusing the"complete","average", and"single"linkage methods, respectively. - Plot a dendrogram for each model, using titles of
"Complete","Average", and"Single", respectively.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Cluster using complete linkage: hclust.complete
hclust.complete <- ___(dist(x), method = ___)
# Cluster using average linkage: hclust.average
hclust.average <- ___
# Cluster using single linkage: hclust.single
hclust.single <- ___
# Plot dendrogram of hclust.complete
# Plot dendrogram of hclust.average
# Plot dendrogram of hclust.single