[Numpy-discussion] svd and eigh
Sat May 3 01:34:19 CDT 2008
I am trying out the eigenvectors related functions in numpy.linalg.I
came across some portions where i have doubts.
i have an array X
if i calculate L=dot(X,X.transpose())
can L be called the covariance matrix of X?I read so in a paper by
Turk&Pentland(equation 3 i think)
can someone clarify this ?
i tried to find eigenvectors using svd() and eigh() functions
and sorted both evects1 and evects2 in the descending order of their
here i find that evects1 and evects2 have same values but some of the
values differ in their signs.why is this?
can anyone explain
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