Skip to main content

Basic Structure of High-Dimensional Spaces

  • Chapter
  • First Online:
Understanding High-Dimensional Spaces

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 1245 Accesses

Abstract

Data is naturally represented geometrically by associating each record with a point in the space spanned by the attributes. This idea, although simple, raises a number of challenging problems in practice.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David B. Skillicorn .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 The Author

About this chapter

Cite this chapter

Skillicorn, D.B. (2012). Basic Structure of High-Dimensional Spaces. In: Understanding High-Dimensional Spaces. SpringerBriefs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33398-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33398-9_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33397-2

  • Online ISBN: 978-3-642-33398-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics