MPCA is a software suite for discrete principal components analysis on data sets of 100Mb or more. It includes a range of tools and features for comprehensive analysis.
If you're looking for a powerful tool for discreet principal components analysis on large datasets, look no further than MPCA. This comprehensive suite of tools is specifically designed to handle datasets of 100Mb or more, and scaling is made simple with the use of sparse vectors, multi-threading, memory mapping, and other clever POSIX tricks.
What sets MPCA apart is its versatility. Often known as grade of membership, PLSA, non-neg. matrix factorization, multinomial admixtures, LDA, or multinomial PCA, the general problem of discrete components analysis can take on many different forms. No matter what your specific needs are, MPCA has the tools to help you get the job done.
In addition to its comprehensive analysis tools, MPCA also includes a variety of utilities for generating reports, file dumping, and more. But that's not all - this latest release of MPCA includes some exciting new features, including linkages to the ALVIS system to create topic models and annotate linguistically tagged content. Cleanups with the linkBags Perl utilities have also been moved out to CPAN.
Want to see what MPCA can really do? Check out the search demos to see some of the powerful models in action. With MPCA, the possibilities are endless.
What sets MPCA apart is its versatility. Often known as grade of membership, PLSA, non-neg. matrix factorization, multinomial admixtures, LDA, or multinomial PCA, the general problem of discrete components analysis can take on many different forms. No matter what your specific needs are, MPCA has the tools to help you get the job done.
In addition to its comprehensive analysis tools, MPCA also includes a variety of utilities for generating reports, file dumping, and more. But that's not all - this latest release of MPCA includes some exciting new features, including linkages to the ALVIS system to create topic models and annotate linguistically tagged content. Cleanups with the linkBags Perl utilities have also been moved out to CPAN.
Want to see what MPCA can really do? Check out the search demos to see some of the powerful models in action. With MPCA, the possibilities are endless.
What's New
Version 1.57: N/A