Unsupervised Learning

Domain: AI Fundamentals

🎯 Motivation

Sometimes data has no labels. We still want to find hidden structure or groups.

📋 Concrete Example

Give a shop customer purchase data with no labels. The algorithm groups customers into clusters (e.g. bargain hunters vs big spenders).

🔗 Analogy

Like sorting a big pile of mixed Lego bricks into piles by shape and color without anyone telling you the categories first.

Related Concepts

• Supervised Learning
• Clustering
• Dimensionality Reduction