Two Algorithms, One Goal: Changing the Face of Anomaly Detection with KIF and SIF | HackerNoon
Briefly

"The proposed Signature Isolation Forest Method addresses the limitations of traditional methods by effectively detecting anomalies in complex, high-dimensional datasets using signature techniques."
"Kernel Signature Isolation Forest (K-SIF) enhances the performance of the Signature Isolation Forest by introducing kernel density estimators, improving the robustness and accuracy of anomaly detection."
Read at Hackernoon
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