MPCA 1.55 review

MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more

License: GPL (GNU General Public License) File size: 2894K Developer: Wray Buntine

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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.

What's New in This Release:
A bug in mpbags that made it constantly use the CPU was fixed.
There is no need to update from 1.54 if you don't use mpbags.