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Abstract:
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Market segmentation studies are often high profile, expensive, and challenging, requiring deep understanding of study goals and algorithm(s) necessary for achieving those goals. Algorithms can range in complexity from standard k-means clustering of satisfaction / loyalty data for quick customer insights to sophisticated co-clustering of sparse data associated with recommender systems. At this roundtable we will discuss various approaches and software useful for implementing segmentation analyses in market research.
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