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Practice Questions
Test your understanding with targeted questions related to the topic.
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?
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 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.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation