Clustering QUIZ - MCQ QUESTIONS AND ANSWERS

Question: 1

The goal of clustering is to-

Question: 2

Clustering is a-

Question: 3

Which of the following clustering algorithms suffers from the problem of convergence at local optima?

Question: 4

Which version of the clustering algorithm is most sensitive to outliers?

Question: 5

Which of the following is a bad characteristic of a dataset for clustering analysis-

Question: 6

For clustering, we do not require-

Question: 7

Which of the following is an application of clustering?

Question: 8

On which data type, we can not perform cluster analysis?

Question: 9

Netflix’s movie recommendation system uses-

Question: 10

The final output of Hierarchical clustering is-

Question: 11

Which of the step is not required for K-means clustering?

Question: 12

Which is the following is wrong?

Question: 13

Which of the following uses merging approach?

Question: 14

Which of the following is a method of choosing the optimal number of clusters for k-means?

Question: 15

When does k-means clustering stop creating or optimizing clusters?

Question: 16

Which of the following clustering algorithm follows a top to bottom approach?

Question: 17

Which algorithm does not require a dendrogram?

Question: 18

Which of the following clustering algorithms suffers from the problem of convergence at local optima?

Question: 19

For topic modeling what should we use?

Question: 20

What is a dendrogram?