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Local outlier factor (LOF) is an anomaly detection algorithm presented as "LOF: Identifying Density-based Local Outliers" by Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jörg Sander. The key idea of LOF is comparing the local density of a point's neighborhood with the local density of its neighbors.

This project has been moved to https://github.com/bkaluza/jlof

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