Unsupervised Learning: Clustering Algorithms

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

Most unsupervised learning performs clustering. A well-known exception is autoencoder neural networks, which learn how to code the input data into a (typically) lower-dimensional representation. However, although autoencoders are normally categorized under unsupervised learning, they use the input data itself as the expected output, and therefore can also be regarded as supervised learning. We do not cover autoencoders or any other unsupervised method whose goal is not to split the data into different groups.

Original languageEnglish
Title of host publicationLectures on Intelligent Systems
Place of PublicationCham, Switzerland
PublisherSpringer, Cham
Pages289-331
Number of pages43
ISBN (Electronic)978-3-031-17922-8
ISBN (Print)978-3-031-17921-1, 978-3-031-17924-2
DOIs
Publication statusPublished - 13 Jan 2023

Publication series

NameNatural Computing Series
ISSN (Print)1619-7127

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