Unsupervised Learning: A Probabilistic View

Charu C. Aggarwal
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Charu C. Aggarwal: IBM T. J. Watson Research Center

Chapter Chapter 9 in Probability and Statistics for Machine Learning, 2024, pp 393-433 from Springer

Abstract: Abstract The previous two chapters have introduced algorithms for supervised learning in which the dependent variable has a significant influence on the learned model. In unsupervised learning, this type of supervision is not available. Rather, the model learns the trends and patterns in the underlying data in terms of carefully designed summaries (models).

Date: 2024
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DOI: 10.1007/978-3-031-53282-5_9

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