Unsupervised Learning

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Discovering hidden structure in data without labeled examples. Used for clustering, dimensionality reduction, and anomaly detection.

Key Properties

• Clustering
• Dimensionality Reduction
• Anomaly Detection

How It Works

The model finds patterns, groupings, or compressed representations in data without being told what to look for. No target variable is provided.

Related

• Supervised Learning (contrast: uses labels)
• Self-Supervised Learning (generates own labels)

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ml unsupervised-learning