Unsupervised Learning
Pattern discovery, clustering, and anomaly detection in unlabeled data.
Overview
Unsupervised Learning discovers hidden patterns and structures in unlabeled data. This approach is valuable for exploratory analysis, customer segmentation, and anomaly detection.
Key Features
Clustering algorithms
Dimensionality reduction
Anomaly detection
Association rules
Pattern discovery
Data exploration
Use Cases
Customer segmentation
Fraud detection
Recommendation systems
Market basket analysis
Network analysis
Image compression
Benefits
- Discover hidden insights
- No labeled data required
- Identify anomalies
- Segment customers