6.1.3 - Cluster Evaluation Metrics
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Practice Questions
Test your understanding with targeted questions
What does the Silhouette Score measure?
💡 Hint: Think about cluster similarity.
What does a lower Davies-Bouldin Index imply?
💡 Hint: Remember, lower is better!
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does the Silhouette Score range from?
💡 Hint: Think about the lowest and highest scores.
True or False: A lower Davies-Bouldin Index signifies better clustering.
💡 Hint: How do we want our index to behave?
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have a dataset with several distinct natural clusters. Upon using K-Means, you find a Davies-Bouldin Index of 1.5 and a Silhouette Score of 0.3. What actions could you take to improve your clustering?
💡 Hint: Think about what these indices tell you about the current clustering quality.
In an analysis, you're applying the Elbow Method and notice the elbow point is at K=4. However, you notice better cluster separation visually at K=6. How do you decide which K to use?
💡 Hint: Think of balancing visual observations with quantitative evaluations.
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