6.1 - Clustering
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Practice Questions
Test your understanding with targeted questions
What is clustering?
💡 Hint: Think about organizing items by shared characteristics.
Name one advantage of K-Means clustering.
💡 Hint: What do we want a clustering method to be?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of clustering?
💡 Hint: What is the purpose of clustering in machine learning?
True or False: DBSCAN requires you to predefine the number of clusters.
💡 Hint: Think about how DBSCAN groups data points.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Suppose you apply K-Means clustering on a dataset and received poor results due to sensitivity to outliers. What approaches can you take to mitigate this issue?
💡 Hint: Think about how data transformations can affect clustering.
A manager wants to use DBSCAN but is unsure of how to set its parameters. What general advice would you give to help them choose optimal values for eps and minPts?
💡 Hint: Consider the density of clusters when adjusting these parameters.
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