Anomaly Detection with Score functions based on Nearest Neighbor Graphs

NeurIPS 2009 Manqi ZhaoVenkatesh Saligrama

We propose a novel non-parametric adaptive anomaly detection algorithm for high dimensional data based on score functions derived from nearest neighbor graphs on n-point nominal data. Anomalies are declared whenever the score of a test sample falls below q, which is supposed to be the desired false alarm level... (read more)

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