There are various forms of "nonlinear" PCA, which transform the
variables nonlinearly in such a way that there is maximal data
reduction in a fixed dimensionality. For instance: transform
the variables nonlinearly in such a way that the sum of the
two largest eigenvalues of the correlation matrix
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Donald Macnaughton
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This list is open to everyone. Occasionally, people lacking respect
for other members of the list send me
First of all, Hi to everybody out there, I am knew on this list. To cut
my story short, I would like to know if there is any way to run a
nonparametric PCA.
The electrophysiological data I am working with are usually ln
or sqrt transformed to normalize distribution. However, this procedure
does no
This post is rather long, sorry.
I have started a new listserv ... called INTROSTAT-L ... that will be
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