Unsupervised learning

Unsupervised learning is a machine learning approach in which a model finds structure in data without labeled answers, for example by grouping similar items or compressing information.

Unsupervised learning sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.