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
Associated With
Source Unsupervised learning - Wikipedia
In Field
Sources
1. Unsupervised learning - Wikipedia
Lead section
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data.
Associated With: Supervised Learning, Lead section, first sentence
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data.
In Group: Machine Learning Paradigms, Lead
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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