Practice What is Clustering? - 6.1.1 | 6. Unsupervised Learning – Clustering & Dimensionality Reduction | Data Science Advance
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What is Clustering?

6.1.1 - What is Clustering?

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main purpose of clustering?

💡 Hint: Think about what clustering helps us understand in datasets.

Question 2 Easy

Name one application of clustering.

💡 Hint: Where do you see grouping of data used in real life?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is clustering primarily used for?

To classify labeled data
To group similar data without labels
To predict future values

💡 Hint: Think about how data can be organized without any prior labels.

Question 2

True or False: K-Means requires the number of clusters to be specified beforehand.

True
False

💡 Hint: Consider how you would start clustering without knowing the cluster count.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset of customer purchase histories, develop a clustering strategy to segment customers for targeted advertising. Detail your approach.

💡 Hint: Think about factors that could influence customer grouping.

Challenge 2 Hard

You have a dataset with varying density clusters. Which clustering algorithm would you choose and why? Provide a rationale.

💡 Hint: Consider the characteristics of your dataset before making a choice.

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