ICA link collection
Program packages that implement ICA algorithms
- The FastICA MATLAB Package (incl. links to implementations in C++, R and Python)
- Natural gradient ML or nonlinear decorrelation algorithms
- JADE and related tensor algorithms, for Matlab
- Olshausen-Field sparse coding algorithm, in C and Matlab
- A collection of different algorithms is available in ICALAB
- It is also important to analyze the stability of the estimated components:
Data sets that can be used with ICA
More algorithms and data sets can be found at
the ICA Central
by Jean-Francois Cardoso.
International Workshops on ICA
ICA99
ICA2000
ICA2001
ICA2003
ICA2004
ICA2006
ICA2007
(none in 2002 or 2005 because they are held at an interval of 18 months or so)
Back to the ICA book home page
Last updated by Aapo Hyvärinen
in Oct 2006