Target selection based on fuzzy clustering: a volume prototype approach to CoIL Challenge 2000
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چکیده
A fuzzy clustering based solution to the CoIL Challenge 2000 is described. The challenge consists of correctly determining which customers have caravans in a real world customer data base, and of describing the characteristics of their profile. The solution provided uses fuzzy clustering to granulate different features and determines a score for each cluster. A version of the fuzzy c-means algorithm extended with volume prototypes and similarity based cluster merging is applied for the clustering. A score for each customer is determined from their membership to different clusters and used to select potential caravan owners. Feature selection is also performed using the scores of different clusters. This provides a transparent model that can be used for describing the profile of the potential customers.
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تاریخ انتشار 2000