Practice Agglomerative Hierarchical Clustering (Bottom-Up Approach) - 5.5.1 | Module 5: Unsupervised Learning & Dimensionality Reduction (Weeks 9) | Machine Learning
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5.5.1 - Agglomerative Hierarchical Clustering (Bottom-Up Approach)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Agglomerative Hierarchical Clustering?

πŸ’‘ Hint: Think about how it compares to starting with one large group.

Question 2

Easy

Name a linkage method in AHC.

πŸ’‘ Hint: Consider the different ways clusters can be compared.

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 Hierarchical Clustering start with?

  • One large cluster
  • Several small clusters
  • A random selection of clusters

πŸ’‘ Hint: Think about how clustering usually starts.

Question 2

True or False? Dendrograms can help in determining the number of clusters.

  • True
  • False

πŸ’‘ Hint: Consider the purpose of a dendrogram.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Assume you have a dataset with various customer purchase patterns. Outline how you would apply Agglomerative Hierarchical Clustering to segment these customers, including your choice of linkage method and how you would interpret the resulting dendrogram.

πŸ’‘ Hint: Consider how different segments can influence marketing strategies.

Question 2

Describe a scenario where AHC failed to provide meaningful clusters compared to K-Means. What factors contributed to this outcome?

πŸ’‘ Hint: Think about how clustering methods are impacted by data characteristics.

Challenge and get performance evaluation