A Statistical Framework for Cluster Health Assessment and Its Application in Anti-Money-Laundering Systems
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چکیده
The art and science of clustering is used in many fields, from ubiquitous customer segmentation for gauging marketing effectiveness, to predicting default patterns among credit card holders, to its recent application by financial institutions to segment investment customers to enhance liquidity management. In the area of anti-money-laundering, the use of peer grouping, or segmenting, is even more prevalent as it provides a tailor-made solution for detecting unusual transactional activities.
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