Classification and Clustering
Rudolf Mathar (),
Gholamreza Alirezaei (),
Emilio Balda and
Arash Behboodi
Additional contact information
Rudolf Mathar: RWTH Aachen University, Institute for Theoretical Information Technology
Gholamreza Alirezaei: RWTH Aachen University, Chair and Institute for Communications Engineering
Emilio Balda: RWTH Aachen University, Institute for Theoretical Information Technology
Arash Behboodi: RWTH Aachen University, Institute for Theoretical Information Technology
Chapter Chapter 5 in Fundamentals of Data Analytics, 2020, pp 69-81 from Springer
Abstract:
Abstract Classifying objectsClassification according to certain features is one of the fundamental problems in machine learning. Binary classification by supervised learning will be the topic of Chap. 6 . In this chapter we will start with some elementary classification rules which are derived by a training set. The goal is to find a classifierClassifier that predicts the class correspondence of future observations as accurately as possible.
Date: 2020
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:978-3-030-56831-3_5
Ordering information: This item can be ordered from
http://www.springer.com/9783030568313
DOI: 10.1007/978-3-030-56831-3_5
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 ().