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I'm a research student and I'm trying to use Jama
to calculate eigenvectors from cluster covariance matrices in order to correctly
project the fuzzy membership functions from the clusters.
In comparing jama with jampack and matlab for
a specific examples I'm unsure why I'm getting different results
1
given a 2x2 matrix
-28 24
-40 34
then the eigenvectors given by matlab and Jampack
are:
-0.6247
-0.6000
-0.7809
-8.0000
while Jama gives me:
-0.8
0.60000..
25.000 -20.0000..
why is this the case??
Also given another example matrix:
0 -6
-1
6 2
-16
-5 20
-10
I'm getting different results between Jama and
Matlab and JamPack, why??
I'd appreciate any input on this,
Thanks,
Faiyaz
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