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2007
SIAM

Identifying Bundles of Product Options using Mutual Information Clustering

10 years 2 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less standardized and each sale can be configured to meet the specific requirements of the customer. In this work we suggest a novel methodology to reduce the number of options for complex product configurations by identifying meaningful sets of options that exhibit strong empirical dependencies in previous customer orders. Our approach explores different measures from statistics and information theory to capture the degree of interdependence between the choices for any pair of product components. We use hierarchical clustering to identify meaningful sets of components that can be combined to decrease the number of unique product specifications and increase production standardization. The focus of our analysis is on the influence of different similarity measure - including chi-squared statistics and versions of ...
Claudia Perlich, Saharon Rosset
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where SDM
Authors Claudia Perlich, Saharon Rosset
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