k-Means Clustering MCQs

By: Prof. Dr. Fazal Rehman | Last updated: May 14, 2025

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1. : What is the primary objective of k-Means clustering in data mining?



2. : How does the k-Means algorithm initialize cluster centroids?



3. : What is the role of the ‘k’ parameter in the k-Means algorithm?



4. : How does the k-Means algorithm update cluster centroids during each iteration?



5. : What is a major limitation of the k-Means algorithm?



6. : How does the k-Means algorithm determine convergence?



7. : Which distance metric is commonly used in the k-Means algorithm?



8. : What is the computational complexity of the k-Means algorithm?



9. : Which of the following methods can help improve the performance of the k-Means algorithm?



10. : What is the main advantage of the k-Means algorithm?



 

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