Practice Implement Hierarchical Clustering with Dendrogram Interpretation - 5.7.4 | Module 5: Unsupervised Learning & Dimensionality Reduction (Weeks 9) | Machine Learning
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5.7.4 - Implement Hierarchical Clustering with Dendrogram Interpretation

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define hierarchical clustering.

πŸ’‘ Hint: Think about how data points can be grouped.

Question 2

Easy

What is the purpose of a dendrogram?

πŸ’‘ Hint: Consider what type of diagram shows relationships.

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 agglomerative clustering do?

  • Starts with all points in one cluster
  • Combines points into clusters iteratively
  • Requires pre-defined clusters

πŸ’‘ Hint: Think about the merging process.

Question 2

True or False: Dendrograms can indicate the point at which clusters are merged.

  • True
  • False

πŸ’‘ Hint: Focus on what the height of the lines represents.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a hierarchical clustering plan for a retail dataset. What factors would you consider for linkage method and interpretation?

πŸ’‘ Hint: Think about the business objectives and data characteristics.

Question 2

Explain how varying the distance threshold in fcluster might impact your results. What scenarios would require higher or lower thresholds?

πŸ’‘ Hint: Consider what you might lose or gain with different thresholds.

Challenge and get performance evaluation