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Two-Mode Overlapping Clustering With Applications to Simultaneous Benefit Segmentation and Market Structuring

  • Daniel Baier
  • Wolfgang Gaul
  • Martin Schader
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

A new two-mode overlapping clustering procedure is presented. This procedure includes solution possibilities for two-mode (non-)overlapping additive clustering as well as (non-)overlapping clusterwise regression with conjoint experiments and can be used for simultaneous benefit segmentation and market structuring. Applications of various cases of the new procedure to conjoint data are used for comparisons.

Keywords

Market Structure Customer Segment Additive Cluster Mode Cluster Return Option 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Daniel Baier
    • 1
  • Wolfgang Gaul
    • 1
  • Martin Schader
    • 2
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversität Karlsruhe (TH), Kollegium am SchloßKarlsruheGermany
  2. 2.Lehrstuhl für Wirtschaftsinformatik IIIUniversität Mannheim, SchloßMannheimGermany

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