Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering

Outliers are data points that significantly deviate from other data points in a data set because of different mechanisms or unusual processes. Outlier detection is one of the intensively studied research topics for identification of novelties, frauds, anomalies, deviations or exceptions in addition...

Descripción completa

Detalles Bibliográficos
Autores principales: Cebeci, Zeynel, Cebeci, Cagatay, Tahtali, Yalcin, Bayyurt, Lutfi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575855/
https://www.ncbi.nlm.nih.gov/pubmed/36262121
http://dx.doi.org/10.7717/peerj-cs.1060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575855/
https://www.ncbi.nlm.nih.gov/pubmed/36262121
http://dx.doi.org/10.7717/peerj-cs.1060

Ejemplares similares