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Evaluation of robust outlier detection methods for zero-inflated complex data
Outlier detection can be seen as a pre-processing step for locating data points in a data sample, which do not conform to the majority of observations. Various techniques and methods for outlier detection can be found in the literature dealing with different types of data. However, many data sets ar...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Taylor & Francis
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041731/ https://www.ncbi.nlm.nih.gov/pubmed/35707025 http://dx.doi.org/10.1080/02664763.2019.1671961 |