Clustering algorithms are a powerful form of AI that can be applied to business challenges from customer segmentation to fraud detection.

For example, one approach employs an adaptive window mechanism coupled with clustering techniques to dynamically recognise events from streaming sensor data [1].

We introduce a new divisive clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and regression trees. We analyse British Household ...