Amalgamation of partitions from multiple segmentation bases: a comparison of non-model-based and model-based methods

DOI10.1016/j.ejor.2009.03.002zbMath1179.90202OpenAlexW2021988082MaRDI QIDQ1037693

Rick L. Andrews, Michael J. Brusco, Imran S. Currim

Publication date: 16 November 2009

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2009.03.002

zbMATH Keywords

clusteringmarketingfinite mixture modelsmarket segmentationconsensus partition

Mathematics Subject Classification ID

Marketing, advertising (90B60)

Related Items (1)

Nonsmooth nonconvex optimization approach to clusterwise linear regression problems

Uses Software

• Matlab

Cites Work

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• The effect of market segmentation with demand leakage between market segments on a firm's price and inventory decisions
• Optimal partitioning of a data set based on the \(p\)-median model
• Selection of variables in cluster analysis: An empirical comparison of eight procedures
• A cutting plane algorithm for a clustering problem
• Federations and transitive group choice
• Cliques and clustering: A combinatorial approach
• A combined approach for segment-specific market basket analysis
• Advertising a new product in a segmented market
• Optimal threshold analysis of segmentation methods for identifying target customers
• Clustering of microarray data via clique partitioning
• A Learning Approach for Interactive Marketing to a Customer Segment
• Model-Based Gaussian and Non-Gaussian Clustering
• A Branch-and-Bound Approach Using Polyhedral Results for a Clustering Problem
• 10.1162/153244303321897735

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