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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...
Autores principales: | Rambli, Adzhar, Mohamed, Ibrahim Bin, Hussin, Abdul Ghapor |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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 |
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