Question: What is a potential drawback of hierarchical clustering?

Options:

1. It can handle large datasets efficiently
2. It does not require a predefined number of clusters
3. It can be computationally expensive for large datasets
4. It is less interpretable than K-means

Correct Answer: It can be computationally expensive for large datasets

Solution:

Hierarchical clustering can be computationally expensive, especially for large datasets, due to its complexity.