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Chapter 19. Exemplars, categories, prototypes

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Abstract

This chapter introduces Correspondence Analysis. It is similar to PCA, but is designed for visualization and exploration of bivariate and multivariate categorical data. The first case study focuses on register variation of English Basic Colour Terms by using Simple Correspondence Analysis, which can be used for visualization of bivariate categorical data in two-dimensional contingency tables. In the second case study of German lexical categories <i>Stuhl</i> &#8216;chair&#8217; and <i>Sessel</i> &#8216;armchair&#8217;, you will learn how to perform Multiple Correspondence Analysis with higher-dimensional tables.

References

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