Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
|
| Materias: | |
| 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 |