Procrustes Penalty Function for Matching Matrices to Targets with Its Applications
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-43469-4_13
Reference11 articles.
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3. Frølich, L., Andersen, T. S., & Mørup, M. (2018). Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures. BMC Bioinformatics, 19(1), 197.
4. Hastie, T., Tibshirani, R., & Wainwright, M. (2015). Statistical learning with sparsity: The lasso and generalizations. Boca Ratón: CRC Press.
5. Jolliffe, I. T., Trendafilov, N. T., & Uddin, M. (2003). A modified principal component technique based on the LASSO. Journal of Computational and Graphical Statistics, 12(3), 531–547. https://doi.org/10.1198/1061860032148 .
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