Question: What is the main advantage of using K-means clustering?

Options:

1. It can find non-linear relationships
2. It is easy to implement and computationally efficient
3. It does not require any assumptions about the data distribution
4. It can handle large datasets without any limitations

Correct Answer: It is easy to implement and computationally efficient

Solution:

The main advantage of K-means clustering is its simplicity and computational efficiency, making it easy to implement for large datasets.