prismaDuplicatePCA

PRISMA data for which a PCA should be calculated

prismaData

Efficient implementation of a replicate-aware principal component
  anaylsis (PCA).

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.

prismaDuplicatePCA: Matrix Factorization Based on Replicate-Aware PCA

Description

Usage

Arguments

Value

Examples