Unsupervised learning finds structure in unlabeled data, such as clusters, density patterns, or latent factors, without predefined target labels.
AI Glossary
Unsupervised Learning
Coverage in development
Unsupervised learning finds structure in unlabeled data, such as clusters, density patterns, or latent factors, without predefined target labels.
Definition
Plain English explanation
The model looks for natural groupings or patterns when nobody has labeled the data in advance.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
Correction request
If a technology assignment or hub description is inaccurate, submit a correction via the Corrections Policy.
All technologies → · AI Models → · APIs & SDKs → · Integrations → · Compliance → · Browse all companies → · Explore industries → · Compare →