6.1.2 - Types of Clustering Algorithms
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Practice Questions
Test your understanding with targeted questions
What does K in K-Means represent?
💡 Hint: It signifies the count of clusters.
What does a dendrogram represent?
💡 Hint: Think of it as a tree diagram.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main idea behind K-Means clustering?
💡 Hint: Remember what K represents in K-Means.
Is DBSCAN sensitive to outliers?
💡 Hint: Recall how DBSCAN treats points that don’t belong to any cluster.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Analyze a customer dataset using both K-Means and DBSCAN. Discuss how the results differ, particularly in terms of outlier detection and cluster shapes.
💡 Hint: Compare how each algorithm treats noise and cluster configuration.
Design a study that utilizes hierarchical clustering to analyze a dataset of your choice. Outline your steps and expected outcomes.
💡 Hint: Consider what data structure you want to reveal through clustering.
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