kpcaIG

cranv1.0.1

Variables Interpretability with Kernel PCA. The kernelized version of principal component analysis (KPCA) has proven to be a valid nonlinear alternative for tackling the nonlinearity of biological sample spaces. However, it poses new challenges in terms of the interpretability of the original variables. 'kpcaIG' aims to provide a tool to sele

License GPL-3strong copyleft0 versions1 maintainers9 deps67 weekly dl
https://CRAN.R-project.org/package=kpcaIG
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Dependencies (9)
grDevicesrglkernlabggplot2statsprogressviridisWallomicsDatautils
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First published · 2025-03-28 14:51:58

Last updated · 2025-03-28T13:30:07+00:00