Handbook of Anomaly Detection: With Python Outlier Detection — (9) Local Outlier Factor (LOF)

Chris Kuo/Dr. Dataman
Dataman in AI
Published in
12 min readOct 8, 2022

The Local Outlier Factor (LOF) is another effective unsupervised learning method for outlier detection. Since its invention in the early 2000s (Breunig et al., 2000 [1]), it has been applied widely to different types of problems. It is a density-based technique that uses the nearest-neighbor search to identify anomalous points. In…

Chris Kuo/Dr. Dataman
Dataman in AI

The Dataman articles are my reflections on data science and teaching notes at Columbia University https://sps.columbia.edu/faculty/chris-kuo