The stray algorithm detects anomalies and micro-clusters in high-dimensional data using the k-nearest-neighbor distance with the maximum gap, with an extreme-value-theory threshold, and outperforms HDoutliers on the illustrated cases.
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Anomaly Detection in High Dimensional Data
The stray algorithm detects anomalies and micro-clusters in high-dimensional data using the k-nearest-neighbor distance with the maximum gap, with an extreme-value-theory threshold, and outperforms HDoutliers on the illustrated cases.