ISACA AI Fundamentals — Question 2

Which of the following methods scales poorly with large data sets?

Answer options

• A. Fuzzy
• B. Density-based
• C. Hierarchical

Correct answer: C

Explanation

The correct answer is C, as hierarchical clustering methods typically require significant computational resources and memory, making them less suitable for large datasets. In contrast, fuzzy and density-based methods are generally more scalable and can handle larger volumes of data more effectively.