Practice Hierarchical Clustering (5.5) - Unsupervised Learning & Dimensionality Reduction (Weeks 9)
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Hierarchical Clustering

Practice - Hierarchical Clustering

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is hierarchical clustering?

💡 Hint: Think about how it forms groups.

Question 2 Easy

Name one advantage of hierarchical clustering.

💡 Hint: Consider the flexibility it offers.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does hierarchical clustering create?

Linear clusters
Tree-like structures
Flat clusters

💡 Hint: Think about how clusters are organized.

Question 2

Is hierarchical clustering sensitive to outliers?

True
False

💡 Hint: Consider how clusters merge.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider how different algorithms handle shape and form.

Challenge 2 Hard

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

💡 Hint: Reflect on the mechanisms each method employs for forming clusters.

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Reference links

Supplementary resources to enhance your learning experience.