Published September 23, 2021 | Version v1
Software Open

Dataset and Code for "Unsupervised point anomaly detection using neighborhood structure assisted non-negative matrix factorization"

Authors/Creators

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
md5:35218b128cc762bff6a3361b8041cc7c
32.5 MB Preview Download
md5:94d9ac9690a347a0ff6a6e4998112174
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