Tabular Data Anomaly Detection Based on Density Peak Clustering Algorithm

Author:

Liang Dong1,Wang Jun1,Zhang Wenping2,Liu Yuqi3,Wang Lei2,Zhao Xiaoyong4

Affiliation:

1. State Grid Jibei Electric Power Company Limited,Beijing,China

2. Beijing Information Science & Technology University,Beijing,China

3. Institute of Software Chinese Academy of Sciences,Beijing,China

4. Beijing Information Science & Technology University,Beijing Advanced Innovation Center for Materials Genome Engineering,Beijing,China

Funder

Research and Development

Ministry of Education

Publisher

IEEE

Reference20 articles.

1. Robust methods for unsupervised PCA-based anomaly detection[J];kwitt;Proc of IEEE/IST WorNshop on Monitoring AttacN Detection and Mitigation,2006

2. LOF

3. Isolation Forest

4. Anomaly detection in univariate time-series: A survey on the state-of-the-art[J];braei,2020

5. A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

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