Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions

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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("deepMOU")

0.1.1 by Martin D'Ippolito, 4 days ago


Browse source code at https://github.com/cran/deepMOU


Authors: Martin D'Ippolito [aut, cre] , Anderlucci Laura [aut] , Cinzia Viroli [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports skmeans, extraDistr, dplyr, Rfast, entropy, ggplot2, graphics, MASS


See at CRAN