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.

Learning resources for this quiz:

The website is in Maintenance mode. We are in the process of adding more features.

Any new bookmarks, comments, or user profiles made during this time will not be saved.

**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.

Learning resources for this quiz:

Time limit: 0

0 of 14 Answers & Explanations completed

Questions:

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Quiz complete. Results are being recorded.

0 of 14 Answers & Explanations answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)

0 Essay(s) Pending (Possible Point(s): 0)

- Not categorized 0%

Would you like to submit your quiz result to the leaderboard?

Loading

Pos. | Name | Entered on | Points | Result |
---|---|---|---|---|

Table is loading | ||||

No data available | ||||

- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14

- Current
- Review
- Answered
- Correct
- Incorrect

- 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 / anÂ ________ 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

**Partner Ad **

- Other Quizzes in K-Means Clustering

Find out all the ways

that you can

**Machine Learning Quizzes**