Grouping with Unsupervised Learning Methods

Walter R. Paczkowski
Additional contact information
Walter R. Paczkowski: Data Analytics Corp.

Chapter Chapter 12 in Business Analytics, 2021, pp 357-373 from Springer

Abstract: Abstract I will turn my attention to unsupervised learning methods in this chapter. Recall that these methods do not have a target variable that guides them to learn from a set of features. There are still features, but without a target another approach is needed to extract the information buried inside your data.

Date: 2021
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:978-3-030-87023-2_12

Ordering information: This item can be ordered from
http://www.springer.com/9783030870232

DOI: 10.1007/978-3-030-87023-2_12

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 ().