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Based on artificial intelligence algorithms, clusteringmethods can be used to detect anomalies in customer purchasing behaviour.

Clusters are identified electronically using an iterative computer programs and grouped thematically. When incoming data does not fit in an individual’s usual purchasing behaviour, it is flagged as anomalous. This involves the usage of clustering algorithms, but other identification methods do exist, such as classification.

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