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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.

Questo esercizio fa parte del corso

Unsupervised Learning in R

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Istruzioni dell'esercizio

  • Produce three hierarchical clustering models on x using the "complete", "average", and "single" linkage methods, respectively.
  • Plot a dendrogram for each model, using titles of "Complete", "Average", and "Single", respectively.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# 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
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