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.
Cet exercice fait partie du cours
Unsupervised Learning in R
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.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de 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