Gaussian mixture models (GMM) and k-means for topic analysis of dense document vectors. The underlying clustering functions rely on the Armadillo library (Sanderson & Curtin, 2017) .
It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
0.2.0 by Kohei Watanabe, 15 days ago
Browse source code at https://github.com/cran/GMTM
Authors: Kohei Watanabe [aut, cre, cph] (ORCID: , Sanderson Conrad [ctb, cph] (C++ code for GMM and k-means) , Curtin Ryan [ctb, cph] (C++ code for GMM and k-means)
Documentation: PDF Manual
Apache License (>= 2.0) license
Imports quanteda, proxyC, wordvector, Rcpp, RcppArmadillo
Suggests testthat, spelling, rmarkdown, knitr, withr
Linking to Rcpp, RcppArmadillo
See at CRAN