GitHub - argriffing/khatrisvd: Recursively cluster using an eigenvector of the doubly centered matrix of squared correlation coefficients.

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Recursively cluster using an eigenvector of the doubly centered matrix of squared correlation coefficients.

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Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
khatrisvd		khatrisvd
mmc-data-files		mmc-data-files
.gitignore		.gitignore
README		README
script-20090709a.py		script-20090709a.py
script-20090709b.py		script-20090709b.py
script-20090709c.py		script-20090709c.py
script-20090710a.py		script-20090710a.py
script-20090710b.py		script-20090710b.py
script-20090712a.py		script-20090712a.py
script-20090714a.py		script-20090714a.py
script-20090714b.py		script-20090714b.py
script-20090714c.py		script-20090714c.py
script-20090715a.py		script-20090715a.py
script-20090715b.py		script-20090715b.py
svdtimer.m		svdtimer.m
svdtimer.py		svdtimer.py

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The khatrisvd package will probably depend on python 2.6 features.


To check the speed of singular value decomposition on MATLAB vs.
whatever linear algebra library Numpy is connected to,
use these programs:
svdtimer.py
svdtimer.m

Usage:
python svdtimer.py 450 10000
matlab -nojvm -nodisplay -nodesktop -nosplash -r svdtimer


Each module will run a self-test when run from the command line.
Use the python coverage program to check the coverage of the tests.
coverage -x <module.py>
coverage -r <module.py>