Clustering and unsupervised classification
Clustering and unsupervised classification
This chapter examines iterative clustering methods including finite mixture modelling based on the EM algorithm. Applications to behavioural segmentation of domestic energy customers, the identification of customer missions in supermarkets, and behaviour-based targeting for mobile network operators are covered.
Keywords: K-means cluster, EM algorithm, finite mixture modelling, behavioural segmentation, energy demand, mobile phone usage, customer shopping missions
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