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About:
MPCA is a comprehensive suite of tools for doing
discrete principal components analysis on data
sets of size 100Mb or more. Scaling is done using
sparse vectors, multi-threading, memory mapping,
and other POSIX tricks. Reports, file dumping
utilities, and other utilities are included. The
general problem of discrete components analysis is
variously called grade of membership, PLSA,
non-neg.matrix factorization, multinomial
admixtures, LDA, and multinomial PCA.
Author:
Wray Buntine [contact developer]
Homepage:
http://www.componentanalysis.org
Tar/GZ:
http://cosco.hiit.fi/search/MPCA/mpca-1.57.tar.gz
Mailing list archive:
https://lists.otaverkko.fi/pipermail/cosco-mpca/
Demo site:
http://cosco.hiit.fi/search/wikipedia400-1205/
Trove categories:
[change]
Dependencies:
[change]
No dependencies filed
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