Hierarchical clustering with results
In this exercise, you will create your first hierarchical clustering model using the hclust() function.
We have created some data that has two dimensions and placed it in a variable called x. Your task is to create a hierarchical clustering model of x. Remember from the video that the first step to hierarchical clustering is determining the similarity between observations, which you will do with the dist() function.
You will look at the structure of the resulting model using the summary() function.
Questo esercizio fa parte del corso
Unsupervised Learning in R
Istruzioni dell'esercizio
- Fit a hierarchical clustering model to
xusing thehclust()function. Store the result inhclust.out. - Inspect the result with the
summary()function.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create hierarchical clustering model: hclust.out
hclust.out <- ___
# Inspect the result