Question: What is the main purpose of using distance metrics in clustering algorithms?

Options:

1. To determine the number of clusters
2. To measure the similarity or dissimilarity between data points
3. To visualize the clusters formed
4. To optimize the performance of the algorithm

Correct Answer: To measure the similarity or dissimilarity between data points

Solution:

Distance metrics are used in clustering algorithms to measure the similarity or dissimilarity between data points, which is crucial for forming clusters.