Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Understanding High-Dimensional SpacesBasic Structure of High-Dimensional Spaces

Understanding High-Dimensional Spaces: Basic Structure of High-Dimensional Spaces [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Understanding High-Dimensional SpacesBasic Structure of High-Dimensional Spaces

Download PDF
5 pages

Loading next page...
 
/lp/springer-journals/understanding-high-dimensional-spaces-basic-structure-of-high-UO19ZPw0J4
Publisher
Springer Berlin Heidelberg
Copyright
© The Author 2012
ISBN
978-3-642-33397-2
Pages
13 –18
DOI
10.1007/978-3-642-33398-9_2
Publisher site
See Chapter on Publisher Site

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.]

Published: Sep 25, 2012

Keywords: Euclidean Distance; Extra Attribute; Pairwise Distance; Single Attribute; Cosine Similarity

There are no references for this article.