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

6.1.2.2 - Hierarchical Clustering

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Learning

Practice Questions

Test your understanding with targeted questions

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.

1 more question available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

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