Abstract
This chapter presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey. In a first step, we discuss a singular value decomposition of the categorization data that led to a small set of easily interpretable features dominant in color categorization. These features were used for a dimensionality reduction of the categorization data. Using the categorization data thus preprocessed, we proceed to show that the available typological data support the hypothesis by the cognitive scientist Peter Gärdenfors that the extensions of color category are convex sets in the CIELab space in the languages of the world.
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