Cluster-Based Improved Isolation Forest

Outlier detection is an important research direction in the field of data mining. Aiming at the problem of unstable detection results and low efficiency caused by randomly dividing features of the data set in the Isolation Forest algorithm in outlier detection, an algorithm CIIF (Cluster-based Impro...

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Detalles Bibliográficos
Autores principales: Shao, Chen, Du, Xusheng, Yu, Jiong, Chen, Jiaying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141139/
https://www.ncbi.nlm.nih.gov/pubmed/35626495
http://dx.doi.org/10.3390/e24050611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141139/
https://www.ncbi.nlm.nih.gov/pubmed/35626495
http://dx.doi.org/10.3390/e24050611

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