Unsupervised learning

Unsupervised learning
Unsupervised machine learning

Unsupervised learning is a type of machine learning where algorithm are trained using unlabeled data. Key characteristics:

Major categories of unsupervised learning techniques:

Applications include market segmentation, social network analysis, astronomical data analysis, and more.

Unlike supervised learning, unsupervised techniques must infer patterns solely from datasets without explicit feedback. Performance is evaluated based on utility for exploration and analysis rather than predictive accuracy.

See also: