[P] Using SHAP to explain Unsupervised Anomaly Detection on PCA-anonymized data (Credit Card Fraud). Is this a valid approach for a thesis?

Hello everyone, I’m currently working on a project for my BSc dissertation focused on XAI for Fraud Detection. I have some concerns about my dataset and I am looking for thoughts from the community. I’m using the Kaggle Credit Card Fraud dataset where 28 of the features (V1-V28) are the result of a PCA transformation. I am using an unsupervised approach by