Handbook of Anomaly Detection: With Python Outlier Detection — (10) Cluster-Based Local Outlier Factor (CBLOF)

Chris Kuo/Dr. Dataman
Dataman in AI
Published in
10 min readOct 9, 2022

After introducing the Local Outlier Factor (LOF), we can introduce the Cluster-Based Local Outlier Factor (CBLOF). It defines anomalies as a combination of local distances to nearby clusters, and the size of the clusters to which the data point belongs. It first clusters data points into large or small…

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