What Is Unsupervised Learning?
Unsupervised Learning is a machine-learning approach in which a model finds structure or patterns in data that has not been labelled, for example by grouping similar items together.
Unsupervised Learning — a machine-learning approach in which a model finds structure or patterns in data that has not been labelled, for example by grouping similar items together.
Unsupervised learning is used for clustering, anomaly detection, and dimensionality reduction. Because there is no "correct answer" to check against, evaluating its outputs — and explaining them to a regulator or an affected person — can be harder than for supervised models.
Source: ISO/IEC 22989:2022 (AI concepts and terminology)
Plain-language explanation
Unsupervised learning is used for clustering, anomaly detection, and dimensionality reduction. Because there is no "correct answer" to check against, evaluating its outputs — and explaining them to a regulator or an affected person — can be harder than for supervised models.
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