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In this paper, we propose class consistency<\/jats:italic> as a measure of the quality of the mapping. Class consistency enforces the constraint that classes of n\u2013D data are shown clearly in 2\u2013D scatterplots. We propose two quantitative measures of class consistency, one based on the distance to the class's center of gravity, and another based on the entropies of the spatial distributions of classes. We performed an experiment where users choose good views, and show that class consistency has good precision and recall. 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