Participate in this quiz to evaluate your understanding of K-Means Clustering, a fundamental unsupervised learning algorithm used for partitioning data into distinct groups based on similarity.

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**Machine Learning Quizzes**

Participate in this quiz to evaluate your understanding of K-Means Clustering, a fundamental unsupervised learning algorithm used for partitioning data into distinct groups based on similarity.

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

**Which of the following is a disadvantage of K-Means?**CorrectIncorrect - Question 2 of 14
##### 2. Question

**Which of the following is a must for K-Means to work effectively?**CorrectIncorrect - Question 3 of 14
##### 3. Question

**In K-Means clustering, how is the silhouette score interpreted?**CorrectIncorrect - Question 4 of 14
##### 4. Question

**Which of the following is true about K-Means?**CorrectIncorrect - Question 5 of 14
##### 5. Question

**How does the K-Means algorithm handle outliers in the data?**CorrectIncorrect - Question 6 of 14
##### 6. Question

**In the context of K-Means clustering, why are the resulting clusters typically spherical in shape?**CorrectIncorrect - Question 7 of 14
##### 7. Question

**Which of the following is a probabilistic interpretation of K-Means clustering?**CorrectIncorrect - Question 8 of 14
##### 8. Question

**In the context of K-Means clustering, what is the Lloyd’s algorithm?**CorrectIncorrect - Question 9 of 14
##### 9. Question

**In the context of K-Means clustering, what does the term “inertia” refer to?**CorrectIncorrect - Question 10 of 14
##### 10. Question

**Which of the following conditions is typically used as a stopping criterion in the K-Means algorithm?**CorrectIncorrect - Question 11 of 14
##### 11. Question

**What is the primary advantage of using the K-Means++ initialization method over the standard K-Means initialization?**CorrectIncorrect - Question 12 of 14
##### 12. Question

**How does the K-Means++ algorithm select the initial centroids?**CorrectIncorrect - Question 13 of 14
##### 13. Question

**In K-Means clustering, what is the computational complexity of one iteration of the algorithm, assuming K clusters and N data points?**CorrectIncorrect - Question 14 of 14
##### 14. Question

**How does the standard K-Means clustering algorithm handle categorical data?**CorrectIncorrect

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