Practice Hierarchical Clustering (6.1.2.2) - Unsupervised Learning – Clustering & Dimensionality Reduction

Practice: Hierarchical Clustering

Lesson 6.1.2.2Unsupervised Learning – Clustering & Dimensionality Reduction

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5 questions

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5 sample questions

Question 1.
What is the main distinction between agglomerative and divisive clustering?
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Think about whether clusters are being combined or divided.
Question 2.
Explain how single linkage might affect the clustering outcome.
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Consider what happens when distance is calculated between clusters.
3Question 3.
What is the primary method for building clusters in agglomerative clustering?
- Merging points
- Dividing clusters
- Random grouping
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Think about whether we are combining or separating.
4Question 4.
True or False: Hierarchical clustering always requires pre-defining the number of clusters.
- True
- False
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Consider how other clustering methods do their clustering.
Question 5.
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.
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Balance between data size and the need for visual structures.

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