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This package replicates the Cluster Bilinear Multidimensional Scaling (CBMDS) method proposed by DeSarbo, Grewal, and Scott (2008).

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CBMDS

The Python function CBMDS_JMR2008 in this package implements the Cluster Bilinear Multidimensional Scaling (CBMDS) method proposed by DeSarbo, Grewal, and Scott (2008). This method simultaneously conducts customer segmentation and product positioning based on preference rating data collected from customer reviews. Refer to the example to learn how to use this function.

Reference

DeSarbo, Wayne S., Rajdeep Grewal, and Crystal J. Scott. "A clusterwise bilinear multidimensional scaling methodology for simultaneous segmentation and positioning analyses." Journal of Marketing Research 45, no. 3 (2008): 280-292.

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This package replicates the Cluster Bilinear Multidimensional Scaling (CBMDS) method proposed by DeSarbo, Grewal, and Scott (2008).

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