In ICA, multi-dimensional data is decomposed into components that are maximally independent in an appropriate sense (kurtosis and negentropy, in this package).the ICA components have maximal statistical independence. In practice, ICA can often uncover disjoint underlying trends in multi-dimensional data.

Filename	Size	Update
arrinit.m	747	2001-06-04
back.m	900	2001-06-04
compdist.m	658	2000-07-06
compgrad.m	1136	2001-06-04
costderiv.m	2860	2001-06-04
doepoch.m	384	2001-06-04
forward.m	747	2001-06-04
forwardg.m	914	2001-06-04
generate.m	1708	2001-06-04
netinit.m	1702	2000-08-03
netpar.m	533	2001-06-04
plotdata.m	2340	2001-06-04
processdata.m	820	2001-06-04
reportresults.m	137	2001-06-04
testcost.m	2614	2001-06-04
train.m	329	2005-02-01
wadapt.m	2029	2001-06-04
MIToolbox Manual.pdf	50771	2005-02-03
readme.html	6385	2005-02-03

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