Unsupervised Learning Explained: When Labels Do Not Exist
Unsupervised Learning
Unlike supervised learning, here we do not have labeled data. The algorithm tries to identify hidden structures inside the dataset.
Common Examples
- Customer segmentation
- Anomaly detection
- Recommendation grouping
Most businesses use clustering to group similar customers or products.
Next: K-Means Clustering
