RIFT: Relative Isolation From Trees For Anomaly Detection

RIFT is a deterministic anomaly detection method that generalizes a one-dimensional result to higher dimensions using Minimum Spanning Trees (MST). It scores points based on the sum of apparent edge sizes in a tree structure, achieving an exact closed-form limit for 1D data and providing a parameter-free generalization.

Open the full episode

More from AI Radio