Local Outlier Factor

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LOF

In anomaly detection, the local outlier factor (LOF) is an algorithm proposed by Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jörg Sander in 2000 for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours.

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First seen: Mar 13, 2026Last active: Mar 13, 2026Wikipedia

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Research MilestoneMar 13, 2026
A variant for string data using a weighted Levenshtein distance was proposed and compared in a new thesis.
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Levenshtein distance
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