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Fuzzy clusterwise regression in benefit segmentation: Application and investigation into its validity

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  • Steenkamp, Jan-Benedict E. M.
  • Wedel, Michel

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  • Steenkamp, Jan-Benedict E. M. & Wedel, Michel, 1993. "Fuzzy clusterwise regression in benefit segmentation: Application and investigation into its validity," Journal of Business Research, Elsevier, vol. 26(3), pages 237-249, March.
    • Handle: RePEc:eee:jbrese:v:26:y:1993:i:3:p:237-249
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    Cited by:

    1. Dolnicar, Sara & Grün, Bettina & Leisch, Friedrich, 2016. "Increasing sample size compensates for data problems in segmentation studies," Journal of Business Research, Elsevier, vol. 69(2), pages 992-999.
    2. Florian Schreiber, 2017. "Identification of customer groups in the German term life market: a benefit segmentation," Annals of Operations Research, Springer, vol. 254(1), pages 365-399, July.
    3. Ozer, Muammer, 2005. "Fuzzy c-means clustering and Internet portals: A case study," European Journal of Operational Research, Elsevier, vol. 164(3), pages 696-714, August.
    4. Ozer, Muammer, 2001. "User segmentation of online music services using fuzzy clustering," Omega, Elsevier, vol. 29(2), pages 193-206, April.

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