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Unsupervised learning is a machine learning approach that analyzes input data without labeled responses to discover patterns and structures. It contrasts with supervised learning, which requires labeled data and aims to predict outcomes. Common applications include market basket analysis, social network analysis, and anomaly detection, with techniques like clustering and dimensionality reduction being widely used.

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N BP

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EN