getMatrixFactorizationLabels

prismaMF

Given a matrix factorization object $A = B C$, this function returns for each
  document the index of the inner dimension which has the maximal
  coordinate. Thus, it converts the fuzzy clustering found in the
  columns of the $C$ matrix into a hard clustering by returning the
  position with the maximal coordinate value.

The PRISMA package is capable of loading and processing huge text corpora processed with the sally toolbox (http://www.mlsec.org/sally/). sally acts as a very fast preprocessor which splits the text files into tokens or n-grams. These output files can then be read with the PRISMA package which applies testing-based token selection and has some replicate-aware, highly tuned non-negative matrix factorization and principal component analysis implementation which allows the processing of very big data sets even on desktop machines.

getMatrixFactorizationLabels: Convert Coordinates of Matrix Factorization to Labels

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See Also