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Association Factor for Identifying Linear and Nonlinear Correlations in Noisy Conditions
Background: In data analysis and machine learning, we often need to identify and quantify the correlation between variables. Although Pearson’s correlation coefficient has been widely used, its value is reliable only for linear relationships and Distance correlation was introduced to address this sh...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516922/ https://www.ncbi.nlm.nih.gov/pubmed/33286214 http://dx.doi.org/10.3390/e22040440 |