KernelICA-package: KernelICA-package

KernelICA-packageR Documentation

KernelICA-package

Description

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

Author(s)

Maintainer: Klaus Nordhausen klausnordhausenR@gmail.com (ORCID)

Authors:

References

Francis R. Bach, Michael I. Jordan
Kernel independent component analysis
Journal of Machine Learning Research 2002
\Sexpr[results=rd]{tools:::Rd_expr_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
\Sexpr[results=rd]{tools:::Rd_expr_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
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v093.i01")}


KernelICA documentation built on Aug. 4, 2026, 9:07 a.m.