Hierarchical Clustering Algorithms
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Questions and Answers

What is the main difference between agglomerative and divisive hierarchical clustering algorithms?

  • Agglomerative algorithms divide one big cluster into smaller clusters from the top-down, while divisive algorithms merge clusters from the bottom-up.
  • Agglomerative algorithms create a dendrogram, while divisive algorithms do not create any graphical representation.
  • Agglomerative algorithms use Euclidean distance, while divisive algorithms use Manhattan distance.
  • Agglomerative algorithms merge clusters from the bottom-up, while divisive algorithms divide one big cluster into smaller clusters from the top-down. (correct)

    • What does a root node represent in a dendrogram?

  • The minimum distance between any two points in a cluster.
  • A cluster formed after merging two or more smaller clusters. (correct)
  • The individual data points in the dataset.
  • The maximum distance between any two points in a cluster.

    • Which method uses the distance between the closest members of two clusters in agglomerative hierarchical clustering?

  • Average linkage
  • Centroid linkage
  • Single linkage (correct)
  • Complete linkage

    • What is the purpose of a dendrogram in hierarchical clustering?

    <p>To represent the hierarchy of clusters and the process of merging or dividing clusters.</p> Signup and view all the answers

    What is represented by leaf nodes in a dendrogram?

    <p>Individual data points</p> Signup and view all the answers

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