Published September 23, 2021
| Version v1
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Dataset and Code for "Unsupervised point anomaly detection using neighborhood structure assisted non-negative matrix factorization"
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Description
This is the set of files reproducing the results in the paper, Ahmed, Hu, Acharya, and Ding, 2021, “Unsupervised point anomaly detection using neighborhood structure assisted non-negative matrix factorization,” Journal of Machine Learning Research, Vol. 22(34), pp. 1−32.
Files
J75_Data&Codes.zip
Files
(32.7 MB)
| Name | Size | Download all |
|---|---|---|
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md5:35218b128cc762bff6a3361b8041cc7c
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32.5 MB | Preview Download |
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md5:94d9ac9690a347a0ff6a6e4998112174
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170.9 kB | Preview Download |
Additional details
References
- Ahmed, Hu, Acharya, and Ding, 2021, "Unsupervised point anomaly detection using neighborhood structure assisted non-negative matrix factorization," Journal of Machine Learning Research, Vol. 22(34), pp. 1−32.
- https://arxiv.org/abs/2001.06541