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Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm
Background: Low-rank approximation is used to interpret the features of a correlation matrix using visualization tools; however, a low-rank approximation may result in an estimation that is far from zero, even if the corresponding original value is zero. In such a case, the results lead to a misinte...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141820/ https://www.ncbi.nlm.nih.gov/pubmed/35626464 http://dx.doi.org/10.3390/e24050579 |