Unconventional Fraud Clustering
Mujtaba challenges traditional clustering methods for fraud detection, emphasizing the need for investigating concave and unconventional clusters that blend in with benign behaviors. He highlights the complexity of fraud patterns evolving over time and the challenges of convincing management of the validity of these unique clusters.In this clip
From this podcast

Data Skeptic
K-Means in Practice
Related Questions