Practice Hierarchical Clustering - 6.1.2.2 | 6. Unsupervised Learning – Clustering & Dimensionality Reduction | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main distinction between agglomerative and divisive clustering?

💡 Hint: Think about whether clusters are being combined or divided.

Question 2

Easy

Explain how single linkage might affect the clustering outcome.

💡 Hint: Consider what happens when distance is calculated between clusters.

Practice 1 more question and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary method for building clusters in agglomerative clustering?

  • Merging points
  • Dividing clusters
  • Random grouping

💡 Hint: Think about whether we are combining or separating.

Question 2

True or False: Hierarchical clustering always requires pre-defining the number of clusters.

  • True
  • False

💡 Hint: Consider how other clustering methods do their clustering.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with clustering a dataset of patients based on their health metrics. Describe which clustering method you would choose and justify your choice based on the benefits and drawbacks discussed.

💡 Hint: Balance between data size and the need for visual structures.

Challenge and get performance evaluation