Description: The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found.
To Search:
File list (Check if you may need any files):
kernel-ICA\amari_distance.m
..........\chol_gauss.c
..........\chol_gauss.m
..........\chol_hermite.c
..........\chol_hermite.m
..........\chol_poly.c
..........\chol_poly.m
..........\contrast_emp_grad.m
..........\contrast_emp_grad_oneunit.m
..........\contrast_ica.m
..........\contrast_ica_oneunit.m
..........\contrast_update_oneunit.m
..........\demo_kernel_ica.m
..........\.istributions\mybetarnd.m
..........\.............\myexprnd.m
..........\.............\mygamrnd.m
..........\.............\mymvnrnd.m
..........\.............\mynormrnd.m
..........\.............\myrndcheck.m
..........\.............\mytrnd.m
..........\.............\usr_distrib.m
..........\empder_search.m
..........\empder_search_oneunit.m
..........\FastBranchFlow.mat
..........\Gauss_Noise.mat
..........\global_mini.m
..........\global_mini_oneunit.m
..........\global_mini_sequential.m
..........\kernel_ica.m
..........\kernel_ica_options.m
..........\rand_orth.m
..........\readme.txt
..........\update_contrast.m
..........\WK.mat
..........\WKN.mat
..........\distributions
kernel-ICA
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