Tabular Data Anomaly Detection Based on Density Peak Clustering Algorithm

Anomaly detection, also known as outlier detection, is one of the basic tasks of data mining, which aims to eliminate noise and discovers potential knowledge, and has received wide attention in the fields of data mining, machine learning, etc. Although many anomaly detection methods have been proposed, there are still some problems that have not been well addressed, including 1) Sample imbalance. ...