Clustering and Anomaly Detection Quiz

What you'll be asked

1. Which of the following best describes the primary goal of clustering in machine learning?
2. In the K-Means clustering algorithm, what does the 'K' represent?
3. A financial institution wants to detect fraudulent credit card transactions. Which approach is most appropriate?
4. Why is it often recommended to scale or normalize data before applying clustering algorithms like K-Means?
5. When using the Isolation Forest algorithm for anomaly detection, how does it identify an anomaly?

Answers and explanations come after you submit.