💡 Classification — Predicting Categories
Clustering is used when you don’t have labels and want to discover patterns or groups.
👉 Think: “What groups exist here?”
Clustering is a fundamental technique in unsupervised machine learning used to group similar data points. Unlike supervised learning, where the model is trained on labeled data, clustering algorithms work on unlabeled data, identifying inherent structures within the data. This technique is widely used in various fields (e.g., market research, image segmentation, and bioinformatics).
🛍️ Real-Life Examples
- Grouping customers by behavior
- Segmenting users for marketing campaigns
- Organizing news articles by topic
- Finding fraud patterns
🧠 One-Line Summary
Clustering = discovering hidden groups in data