Package: deepMOU Title: Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions Version: 0.1.1 Authors@R: c( person("Martin", "D'Ippolito", email = "martinmy69@gmail.com", role = c("aut","cre")), person("Anderlucci", "Laura", email = "laura.anderlucci@unibo.it", role = "aut"), person("Cinzia", "Viroli", email = "cinzia.viroli@unibo.it", role = "aut")) Description: Functions providing an easy and intuitive way for fitting and clusters data using the Mixture of Unigrams models by means the Expectation-Maximization algorithm (Nigam, K. et al. (2000). ), Mixture of Dirichlet-Multinomials estimated by Gradient Descent (Anderlucci, Viroli (2020) ) and Deep Mixture of Multinomials whose estimates are obtained with Gibbs sampling scheme (Viroli, Anderlucci (2020) ). There are also functions for graphical representation of clusters obtained. License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.1 Imports: skmeans, extraDistr, dplyr, Rfast, entropy, ggplot2, graphics, MASS NeedsCompilation: no Packaged: 2021-03-03 20:17:09 UTC; dippolitom Author: Martin D'Ippolito [aut, cre], Anderlucci Laura [aut], Cinzia Viroli [aut] Maintainer: Martin D'Ippolito Depends: R (>= 3.5.0) Repository: CRAN Date/Publication: 2021-03-04 02:30:02 UTC