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.
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Baier, D., Gaul, W., Schader, M. (1997). Two-Mode Overlapping Clustering With Applications to Simultaneous Benefit Segmentation and Market Structuring. In: Klar, R., Opitz, O. (eds) Classification and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59051-1_58
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DOI: https://doi.org/10.1007/978-3-642-59051-1_58
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