unsupervised learning

Machine learning technique

Also known as unsupervised machine learning

Instance of: machine learning method
Subclass of: machine learning
1
Sources
1.Stated in Medical Subject HeadingsRetrieved 2016-09-29
View statement on Wikidata ↗
Part of: machine learning
, semi-supervised and unsupervised learning

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision. Some researchers consider self-supervised learning a form of unsupervised learning.

Overview

All data

26 statements · 27% with external sources · numbers in brackets are citations

Opposite of: supervised learning
ACM Classification Code (2012): 10010260
Studied by: machine learning
Used by: data scientist
Uses: generative model nature of statement: sometimes

On other databases

16 identifiers linking unsupervised learning across the web's reference databases

Data quality

statements

27%

externally sourced

Source last edited September 19, 2026. AIDb refreshes this page daily.

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AIDb. (2026). unsupervised learning (Q1152135). Retrieved from https://aidb.si/e/unsupervised-learning-Q1152135