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.


Reference manual

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0.1.1 by Martin D'Ippolito, a year ago

Browse source code at

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