But here is one solution using the dendextend R package.

tree. a tree as produced by hclust. cutree only expects a list with components merge, height, and labels, of appropriate content each. k. an integer scalar or vector with the desired number of groups.

h. numeric scalar or vector with heights where the tree should be cut.

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tree: a tree as produced by hclust. cutree only expects a list with components merge, height, and labels, of appropriate content each.

k: an integer scalar or vector with the desired number of groups. h: numeric scalar or vector with heights where the tree should be cut. 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.

The bushcleanup.bar model you created earlier is available in your workspace. Jun 20, Two Types of Pruning. Pre-Pruning: Building the tree by mentioning Cp value upfront. Post-pruning: Grow decision tree to its entirety, trim the nodes of the decision tree in a bottom-up fashion. The next post is about Tree Building and Model Selection. 20th June Jan 23, I clustered my hclust tree into several groups with cutree. Now I want a function to hclust the several groupmembers as a hclust ALSO: I cut one tree into groups and I want hclust trees My data is amatrix.

My data is tooooo big so I give you an example.