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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.

この演習はコースの一部です

Unsupervised Learning in R

コースを見る

演習の手順

  • 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.

実践的なインタラクティブ演習

このサンプルコードを完成させて、この演習に挑戦してみましょう。

# 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
コードを編集して実行