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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/5788

Title: Tuning the multivariate Poisson mixture model for clustering supermarket shoppers
Authors: BRIJS, Tom
KARLIS, Dimitris
SWINNEN, Gilbert
VANHOOF, Koen
WETS, Geert
Issue Date: 2002
Series/Report: ITEO research paper; 02/01
Abstract: This paper describes a multivariate Poisson mixture model for clustering supermarket shoppers based on their purchase frequency in a set of product categories. The multivariate nature of the model accounts for cross-selling effects that may exist between the purchases made in different product categories. However, because of computational difficulties, most multivariate approaches limit the covariance structure of the model by including just one common interaction term Although this reduces the ..
Notes: Research network Interuniversity Attraction Pole (P24/5) : Statistical Modelling and Inference for Complex Data Structures
URI: http://hdl.handle.net/1942/5788
Category: R2
Type: Research Report
Appears in Collections: Research publications

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