# Unsupervised Learning

> Source: https://sukruyusufkaya.com/en/glossary/denetimsiz-ogrenme
> Updated: 2026-05-13T21:09:01.600Z
> Type: glossary
> Category: yapay-zeka-temelleri
**TLDR:** A learning approach focused on discovering structure, relationships, and latent patterns in unlabeled data.

<p>Unsupervised learning is a learning approach in which the model tries to discover structure in data without access to correct labels. In many cases, the goal is not direct prediction, but understanding the data, finding clusters, uncovering similarity, or revealing hidden structure. It is especially valuable in customer segmentation, behavior analysis, anomaly discovery, and dimensionality reduction. In domains where labeling is expensive, slow, or ambiguous, unsupervised learning offers a strong strategic advantage. Its real power lies in looking at data not just to produce answers, but to understand its internal organization.</p>