Pattern Recognition
Pattern Recognition is a solution for identifying and categorizing patterns in data using machine learning and statistical techniques.
Key Capabilities Used
Features
- Multi-class classification
- Feature extraction
- Pattern matching
- Anomaly detection
- Model interpretability
Use Cases
- Image classification
- Document categorization
- Behavior analysis
- Quality control
- Medical diagnosis
Technologies
- Neural networks
- Support vector machines
- Random forests
- Gradient boosting
- Deep learning classifiers
Implementation Tools
For efficient pattern matching and similarity computations: