Clustering Quiz Questions

1. The goal of clustering is to-

view answer: A. Divide the data points into groups
2. Clustering is a-

view answer: B. Unsupervised learning
3. Which of the following clustering algorithms suffers from the problem of convergence at local optima?

view answer: D. All of the above
4. Which version of the clustering algorithm is most sensitive to outliers?

view answer: A. K-means clustering algorithm
5. Which of the following is a bad characteristic of a dataset for clustering analysis-

view answer: D. All of the above
6. For clustering, we do not require-

view answer: A. Labeled data
7. Which of the following is an application of clustering?

view answer: D. All of the above
8. On which data type, we can not perform cluster analysis?

view answer: D. None
9. Netflix’s movie recommendation system uses-

view answer: C. Reinforcement learning
10. The final output of Hierarchical clustering is-

view answer: B. The tree representing how close the data points are to each other
11. Which of the step is not required for K-means clustering?

view answer: D. None
12. Which is the following is wrong?

view answer: C. k-nearest neighbor is same as k-means
13. Which of the following uses merging approach?

view answer: A. Hierarchical clustering
14. Which of the following is a method of choosing the optimal number of clusters for k-means?

view answer: D. All of the above
15. When does k-means clustering stop creating or optimizing clusters?

view answer: C. Both A and B
16. Which of the following clustering algorithm follows a top to bottom approach?

view answer: B. Divisible
17. Which algorithm does not require a dendrogram?

view answer: A. K-means
18. Which of the following clustering algorithms suffers from the problem of convergence at local optima?

view answer: D. All of the above
19. For topic modeling what should we use?

view answer: C. K-means
20. What is a dendrogram?

view answer: A. A hierarchical structure

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