A hybrid anomaly detection method for high dimensional data.

Zhang X, Wei P, Wang Q

DOI: 10.7717/peerj-cs.1199
Published: 2023
Container: PeerJ. Computer science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.1199,
  title = {A hybrid anomaly detection method for high dimensional data.},
  author = {Zhang X and Wei P and Wang Q},
  year = {2023},
  journal = {PeerJ. Computer science},
  doi = {10.7717/peerj-cs.1199},
  url = {https://doi.org/10.7717/peerj-cs.1199}
}

RIS

TY  - JOUR
TI  - A hybrid anomaly detection method for high dimensional data.
AU  - Zhang X
AU  - Wei P
AU  - Wang Q
PY  - 2023
JO  - PeerJ. Computer science
DO  - 10.7717/peerj-cs.1199
UR  - https://doi.org/10.7717/peerj-cs.1199
ER  -

APA

X, Z., P, W., & Q, W. (2023). A hybrid anomaly detection method for high dimensional data.. PeerJ. Computer science. https://doi.org/10.7717/peerj-cs.1199

Source records

pubmed · retrieved 2026-11-10T06:56:11.807Z