A hybrid anomaly detection method for high dimensional data

Anomaly detection of high-dimensional data is a challenge because the sparsity of the data distribution caused by high dimensionality hardly provides rich information distinguishing anomalous instances from normal instances. To address this, this article proposes an anomaly detection method combinin...

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Detalles Bibliográficos
Autores principales: Zhang, Xin, Wei, Pingping, Wang, Qingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280180/
https://www.ncbi.nlm.nih.gov/pubmed/37346598
http://dx.doi.org/10.7717/peerj-cs.1199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280180/
https://www.ncbi.nlm.nih.gov/pubmed/37346598
http://dx.doi.org/10.7717/peerj-cs.1199

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