Unsupervised Learning Algorithms

Shinto Eguchi () and Osamu Komori ()
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Shinto Eguchi: Institute of Statistical Mathematic
Osamu Komori: Seikei University

Chapter Chapter 5 in Minimum Divergence Methods in Statistical Machine Learning, 2022, pp 125-152 from Springer

Abstract: Abstract In data analysis or data mining, there are mainly two fundamental types of methodologies, called unsupervised and supervised learning algorithms. This chapter explores principal component analysisPrincipal component analysis, independent component analysisIndependent component analysis, density estimationDensity estimation and clustering analysisClustering analysis.

Date: 2022
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DOI: 10.1007/978-4-431-56922-0_5

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