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  3. Unsupervised Learning in R

Exercise

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.

Instructions

100 XP

The hclust.out model you created earlier is available in your workspace.

  • Cut the hclust.out model at height 7.
  • Cut the hclust.out model to create 3 clusters.