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Next Generation Information Search -- NGIR: Software
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FastPCA
FastPCA is a fast, distributed, pure C, iterative PCA
(
Principal Component Analysis) implementation
(according to Roweis' PPCA)
by Ville Tuulos.
It is aimed specially for very large co-occurrence matrices encountered
in the field of Information Retrieval. FastPCA is released under the
Gnu General Public Lisence.
Download current version:
fastpca290903.tar.gz
MPCA
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.
Further information and downloads at http://www.componentanalysis.org
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