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**Machine Learning Quizzes**

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- Question 1 of 14
##### 1. Question

**What is the primary usage for the K-Means algorithm?**CorrectIncorrect - Question 2 of 14
##### 2. Question

**What does ‘K’ stand for in K-Means?**CorrectIncorrect - Question 3 of 14
##### 3. Question

**K-Means is a / an ________ algorithm**CorrectIncorrect - Question 4 of 14
##### 4. Question

**What metric is commonly used to measure the distance between data points in K-Means?**CorrectIncorrect - Question 5 of 14
##### 5. Question

**How does the K-Means algorithm initialize cluster centroids?**CorrectIncorrect - Question 6 of 14
##### 6. Question

**What is the role of the ‘Elbow Method’ in K-Means clustering?**CorrectIncorrect - Question 7 of 14
##### 7. Question

**K-Means clustering is most sensitive to?**CorrectIncorrect - Question 8 of 14
##### 8. Question

**What happens in the assignment step of K-Means?**CorrectIncorrect - Question 9 of 14
##### 9. Question

**What does the algorithm do in the update step of K-Means?**CorrectIncorrect - Question 10 of 14
##### 10. Question

**What is the effect of increasing the number of clusters (k) in K-Means?**CorrectIncorrect - Question 11 of 14
##### 11. Question

**What is the primary challenge in using K-Means for clustering high-dimensional data?**CorrectIncorrect - Question 12 of 14
##### 12. Question

**What is the primary objective of the K-Means clustering algorithm?**CorrectIncorrect - Question 13 of 14
##### 13. Question

**What role does K-Means++ play in the K-Means clustering algorithm?**CorrectIncorrect - Question 14 of 14
##### 14. Question

**Under which circumstance is Mini-Batch K-Means typically preferred over the standard K-Means algorithm?**CorrectIncorrect

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**Machine Learning Quizzes**