MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more.
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:
· Some linkages to the ALVIS system allow the software to be used to create topic models and annotate linguistically tagged content.
· Some cleanups with the linkBags Perl utilities have been moved out to CPAN.
· To see some of the models in action, visit the search demos at.