Practice Hierarchical Clustering - 5.5 | Module 5: Unsupervised Learning & Dimensionality Reduction (Weeks 9) | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is hierarchical clustering?

πŸ’‘ Hint: Think about how it forms groups.

Question 2

Easy

Name one advantage of hierarchical clustering.

πŸ’‘ Hint: Consider the flexibility it offers.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

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

Question 1

What does hierarchical clustering create?

  • Linear clusters
  • Tree-like structures
  • Flat clusters

πŸ’‘ Hint: Think about how clusters are organized.

Question 2

Is hierarchical clustering sensitive to outliers?

  • True
  • False

πŸ’‘ Hint: Consider how clusters merge.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset with varying cluster shapes. Discuss how hierarchical clustering might work better compared to K-Means.

πŸ’‘ Hint: Consider how different algorithms handle shape and form.

Question 2

In a dataset with significant outliers, how might hierarchical clustering's results vary from K-Means?

πŸ’‘ Hint: Reflect on the mechanisms each method employs for forming clusters.

Challenge and get performance evaluation