MPCAMPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. | |
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MPCA Ranking & Summary
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- License:
- GPL
- Price:
- FREE
- Publisher Name:
- Wray Buntine
- Publisher web site:
- http://www.componentanalysis.org/wiki/index.php/Component_Analysis
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MPCA Description
MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. 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:· 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.
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