Abstract
The objective of cluster analysis is to group observations (e.g., individuals) in such a way that the groups formed are as homogeneous as possible within each group and as different as possible across groups.
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Basic Technical Readings
Sugar, C. A., & James, G. M. (2003). Finding the number of clusters in a data set: An information-theoretic approach. Journal of the American Statistical Association, 98(463), 750–763.
Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236–244.
Application Readings
Askegaard, S., & Madsen, T. K. (1998). The local and the global: Exploring traits of homogeneity and heterogeneity in European food cultures. International Business Review, 7(6), 549–568.
Calantone, R. J., & Di Benedetto, C. A. (2007). Clustering product launches by price and launch strategy. The Journal of Business and Industrial Marketing, 22(1), 4–19.
DeSarbo, W. S., & De Soete, G. (1984). On the use of hierarchical clustering for the analysis of nonsymmetric proximities. Journal of Consumer Research, 11(1), 601–610.
Hall, E. H., Jr., & St. John, C. H. (1994). A methodological note on diversity measurement. Strategic Management Journal, 15(2), 153–168.
Helsen, K., & Green, P. E. (1991). A computational study of replicated clustering with an application to market segmentation. Decision Sciences, 22, 1124–1141.
Helsen, K., Jedidi, K., & DeSarbo, W. S. (1993). A new approach to country segmentation utilizing multinational diffusion patterns. Journal of Marketing, 57(4), 60–71.
Hultink, E. J., Griffin, A., Robben, H. S. J., & Hart, S. (1998). In search of generic launch strategies for new products. International Journal of Research in Marketing, 15, 269–285.
Kale, S. H. (1995). Grouping euroconsumers: A culture-based clustering approach. Journal of International Marketing, 3(3), 35–48.
Kumar, V., Ganesh, J., & Echambadi, R. (1998). Cross-national diffusion research: What do we know and how certain are we? Journal of Product Innovation Management, 15(3), 255–268.
Oliver, R. L., & Anderson, E. (1995). Behavior- and outcome-based sales control systems: Evidence and consequences of pure-form and hybrid governance. Journal of Personal Selling & Sales Management, 15(4), 1–15.
Sethi, S. P. (1971). Comparative cluster analysis for world markets. Journal of Marketing Research, 8(3), 348–354.
Sexton, D. E., Jr. (1974). A cluster analytic approach to market response functions. Journal of Marketing Research, 11(1), 109–114.
Srivatsava, R. K., Leone, R. P., & Shocker, A. D. (1981). Market structure analysis: Hierarchical clustering of products based on substitution in use. Journal of Marketing, 45(3), 38–48.
Steenkamp, J.-B. E. M. (2001). The role of national culture in international marketing research. International Marketing Review, 18(1), 30–44.
Vandermerwe, S., & L’Huillier, M.-A. (1989). Euro-consumers in 1992. Business Horizons, 32(1), 34–40.
Völckner, F., & Sattler, H. (2007). Empirical generalizability of consumer evaluations of brand extensions. International Journal of Research in Marketing, 24, 149–162.
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Gatignon, H. (2014). Cluster Analysis. In: Statistical Analysis of Management Data. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-8594-0_12
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DOI: https://doi.org/10.1007/978-1-4614-8594-0_12
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