Skip to main content

Multidimensional Scaling

  • Chapter
Multivariate Statistics

It was a nice question, for the Cape de Verds were about 500 miles to the north of us, and the African coast about 700 miles to the east. On the whole, as the wind was coming round to north, we thought that Sierra Leone might be best,... James Armitage in “The Adventure of the “Gloria Scott”” Multidimensional scaling (MDS) is a mathematical tool that uses proximities between observations to produce their spatial representation. In contrast to the techniques considered so far, MDS does not start from the raw multivariate data matrix X, but from an (n × n) dissimilarity or distance matrix, D, with the elements δij and dij, respectively. Hence, the underlying dimensionality of the data under investigation is in general not known.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

(2007). Multidimensional Scaling. In: Multivariate Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-73508-5_15

Download citation

Publish with us

Policies and ethics