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Proximities

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Book cover Applied Multidimensional Scaling

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

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Abstract

The data for MDS, proximities, are discussed. Proximities can be collected directly as judgments of similarity; proximities can be derived from data vectors; proximities may result from converting other indices; and co-occurrence data are yet another popular form of proximities.

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Notes

  1. 1.

    The gravity model is based on a Newtonian law from physics that models the gravity forces between large masses such as the earth and the moon.

  2. 2.

    Words such as “and”, “but”, “they” etc. were omitted.

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Correspondence to Ingwer Borg .

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Borg, I., Groenen, P.J.F., Mair, P. (2013). Proximities. In: Applied Multidimensional Scaling. SpringerBriefs in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31848-1_4

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