Question: What type of data is hierarchical clustering particularly useful for?

Options:

1. Large datasets with millions of records
2. Data with a clear number of clusters
3. Data where relationships between clusters are important
4. Data that is strictly numerical

Correct Answer: Data where relationships between clusters are important

Solution:

Hierarchical clustering is particularly useful for data where understanding the relationships between clusters is important, as it provides a visual representation of these relationships.