KernelICA-package: KernelICA-package

Description Author(s) References

Description

The kernel independent component analysis (kernel ICA) method introduced by Bach and Jordan in 2002 (see references). The incomplete Cholesky decomposition used in kernel ICA is provided as separate function.

Author(s)

Christoph L. Koesner
Klaus Nordhausen

Maintainer: Christoph L. Koesner <christoph@koesner.at>

References

Francis R. Bach, Michael I. Jordan
Kernel independent component analysis
Journal of Machine Learning Research 2002
doi: 10.1162/153244303768966085

Francis R. Bach, Michael I. Jordan
Predictive low-rank decomposition for kernel methods.
Proceedings of the Twenty-second International Conference on Machine Learning (ICML) 2005
doi: 10.1145/1102351.1102356.

Sean Martin, Andrew M. Raim, Wen Huang, Kofi P. Adragni
ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization
Journal of Statistical Software 2020
doi: 10.18637/jss.v093.i01


KernelICA documentation built on March 1, 2021, 5:08 p.m.