Encyclopedia of Machine Learning and Data Mining

2017 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Unsupervised Learning

Reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7687-1_976

Unsupervised learning refers to any machine learning process that seeks to learn structure in the absence of either an identified output (cf.  supervised learning) or feedback (cf.  reinforcement learning). Three typical examples of unsupervised learning are  clustering,  association rules, and  self-organizing maps.

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© Springer Science+Business Media New York 2017