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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...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Kachouie, Nezamoddin N., Deebani, Wejdan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7516922/
https://ncbi.nlm.nih.gov/pubmed/33286214
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040440
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