Q1 (9pts): Given the goal of trying to detect outlier credit card transactions to identify fraud, explain when such transactions are considered:
Q1a: Global outliers
Q1b: Contextual outliers
Q1c: Collective outliers
Q2 (6pts): Given a dataset of pet cats that measures each pet using length and weight, you would like to be able to identify the outliers of big cats like tigers. Explain how you would do this using:
Q2a: Clustering approach
Q2b: Classification approach
