A gathering of anomaly detection techniques in Machine Learning
Models, so far:
- 1 class Support Vector Machine (SVM)
- Isolation Forest
- Local Outlier Factor
Time Series (Univariate and Multivariate) + Outlier Detection:
- STL Decomposition, and Isolation Forest