AI & Technology

What Is Unsupervised Learning?

Unsupervised learning is a type of machine learning that finds patterns and structure in data without labeled answers. The model groups similar items, detects unusual ones, or simplifies data on its own. Customer segmentation and anomaly detection are common examples.

Common Techniques

Clustering groups similar data points; dimensionality reduction summarizes many variables into fewer; anomaly detection flags items that differ markedly from the rest.

Statistics Connection

Many methods rely on measuring distances, averages, and spread within groups.

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🔗 Related Terms

Supervised Learning Machine Learning Embedding (AI)

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Last updated: September 29, 2026. This definition is for general educational purposes only. It is not financial, investment, tax, legal, or medical advice, and it does not recommend any product or course of action. For decisions about your own situation, consult a qualified professional.