> For the complete documentation index, see [llms.txt](https://docs.sov.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sov.ai/pattern-recognition.md).

# Pattern Recognition

- [Pairwise Distance](https://docs.sov.ai/pattern-recognition/pairwise-distance.md): Pairwise statistics for distance and similarity between stocks in cross-section, time-series, and panel orientations.
- [Anomaly Detection](https://docs.sov.ai/pattern-recognition/anomaly-detection.md): It provides methods to detect global, local, and cluster anomalies in multivariate financial data
- [Clustering Panels](https://docs.sov.ai/pattern-recognition/clustering-panels.md): Clustering specifically designed for multivariate panel clustering of financial and time-series data