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A new outlier detection method for spherical data

In this study, we propose a new method to detect outlying observations in spherical data. The method is based on the k-nearest neighbours distance theory. The proposed method is a good alternative to the existing tests of discordancy for detecting outliers in spherical data. In addition, the new met...

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Detalles Bibliográficos
Autores principales: Rambli, Adzhar, Mohamed, Ibrahim Bin, Hussin, Abdul Ghapor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401148/
https://www.ncbi.nlm.nih.gov/pubmed/36001611
http://dx.doi.org/10.1371/journal.pone.0273144