An important aspect to consider in most ICA-based analysis is the stability of the results with respect to small changes in the dataset. One wants to know if the components are reliable in the sense that different random subsets of the data produce roughly the same results. We have developed a method, called ICASSO, for answering exactly this question.
For more information, as well as the full code package, see the ICASSO home page.
Last updated on 10 Dec 2007 by Teemu Mäntylä - Page created on 13 Jan 2007 by Webmaster