Local outlier factor
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. LOF shares some concepts with DBSCAN and OPTICS such as the concepts of "core distance" and "reachability distance", which are used for local density estimation.
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Local outlier factor
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. LOF shares some concepts with DBSCAN and OPTICS such as the concepts of "core distance" and "reachability distance", which are used for local density estimation.
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Der Local Outlier Factor (LOF, ...... Algorithmen DBSCAN und OPTICS.
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In anomaly detection, the loca ...... for local density estimation.
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Der Local Outlier Factor (LOF, ...... rn ist hingegen ein Ausreißer.
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In anomaly detection, the loca ...... for local density estimation.
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Local Outlier Factor
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Local outlier factor
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