A machine-learning paradigm in which a model is given data with no labeled outputs and must find structure in it on its own, such as grouping similar items into clusters or reducing the data to its most important underlying dimensions.
Facts
Core PrincipleAlgorithms learn patterns exclusively from unlabeled data, in contrast to supervised learning. 1 Connections
Sources
1. Unsupervised learning - Wikipedia
Lead sectionQuote, Lead section
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data.
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