Curse and Blessing of High Dimensionality

Sven A. Wegner ()

Chapter Chapter 8 in Mathematical Introduction to Data Science, 2024, pp 115-125 from Springer

Abstract: Abstract Many datasets naturally occur in a high-dimensional space. Using simulations and simple calculations, we delve into the initially perplexing characteristics of datasets in high dimensions. We particularly focus on data that has been chosen uniformly at random from the hypercube or that follows a Gaussian distribution.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-69426-8_8

Ordering information: This item can be ordered from
http://www.springer.com/9783662694268

DOI: 10.1007/978-3-662-69426-8_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().