Cutting the tree
Remember from the video that cutree() is the R function that cuts a hierarchical model. The h and k arguments to cutree() allow you to cut the tree based on a certain height h or a certain number of clusters k.
In this exercise, you will use cutree() to cut the hierarchical model you created earlier based on each of these two criteria.
This exercise is part of the course
Unsupervised Learning in R
Exercise instructions
The hclust.out model you created earlier is available in your workspace.
- Cut the
hclust.outmodel at height 7. - Cut the
hclust.outmodel to create 3 clusters.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Cut by height
# Cut by number of clusters