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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does K in K-Means stand for?
💡 Hint: Think about the meaning of 'K'.
Question 2
Easy
What is the purpose of the centroid in K-Means?
💡 Hint: Consider what a centroid does in geometry.
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 K-Means used for?
- Supervised learning
- Unsupervised learning
- Reinforcement learning
💡 Hint: Think about what 'unsupervised' means.
Question 2
True or False: The Elbow method requires you to know the number of clusters in advance.
- True
- False
💡 Hint: Consider the function of the Elbow method.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with varying densities of clusters, discuss the challenges and strategies for applying K-Means.
💡 Hint: Think about how data normalization might help.
Question 2
Design a scenario where the Elbow method may yield ambiguous results and how you would handle it.
💡 Hint: Consider situations where K values may show gradual improvement.
Challenge and get performance evaluation