Please use this identifier to cite or link to this item:
|Title:||Tuning the multivariate Poisson mixture model for clustering supermarket shoppers||Authors:||BRIJS, Tom
|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||Document URI:||http://hdl.handle.net/1942/5788||Category:||R2||Type:||Research Report|
|Appears in Collections:||Research publications|
Show full item record
checked on May 22, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.