An Asymmetric Cluster Analysis Study of Car Switching Data

An asymmetric cluster analysis was applied to car switching data among 16 car segments. The asymmetric cluster analysis, which is based on an algorithm corresponding to the mean method, can represent asymmetric relationships among car segments on a dendrogram and can deal with non switchers of the car switching data (diagonal elements of the car switching matrix). The obtained result showed that two features: (a) difference between import cars or domestic and captive import cars; and (b) size or price of cars, are playing important roles in car switching, and that the first feature played the primary factor in the car switching.

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