https://github.com/gregstarr/anomaly-detection

group anomaly detection, based on Scholkopf
https://github.com/gregstarr/anomaly-detection

Last synced: about 1 year ago
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group anomaly detection, based on Scholkopf

• Host: GitHub
• URL: https://github.com/gregstarr/anomaly-detection
• Owner: gregstarr
• License: gpl-3.0
• Created: 2017-05-08T19:41:08.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-07-12T11:00:31.000Z (almost 9 years ago)
• Last Synced: 2025-02-05T13:53:09.902Z (over 1 year ago)
• Language: Python
• Size: 5.62 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Group Anomaly Detection

read the paper:

[Project Writeup](./writeup.pdf)

based on: 

K. Muandet and B. Schölkopf. One-class support measure machines for group anomaly detection. *arXiv preprint arXiv:1303.0309*, 2013.

J. Root, J. Qian, and V. Saligrama, “Learning efficient anomaly detectors from K-NN graphs,” in *Proc. of the Int. Conf. on Artificial Intelligence and Statistics*, 2015, pp. 790–799