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deepMOU  

Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions
View on CRAN: Click here


Download and install deepMOU package within the R console
Install from CRAN:
install.packages("deepMOU")

Install from Github:
library("remotes")
install_github("cran/deepMOU")

Install by package version:
library("remotes")
install_version("deepMOU", "0.1.1")



Attach the package and use:
library("deepMOU")
Maintained by
Martin D'Ippolito
[Scholar Profile | Author Map]
First Published: 2021-01-22
Latest Update: 2021-03-04
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.
How to cite:
Martin D'Ippolito (2021). deepMOU: Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions. R package version 0.1.1, https://cran.r-project.org/web/packages/deepMOU. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.1.0 (2021-01-22 10:40)
Other packages that cited deepMOU R package
View deepMOU citation profile
Other R packages that deepMOU depends, imports, suggests or enhances
Complete documentation for deepMOU
Functions, R codes and Examples using the deepMOU R package
Some associated functions: Abstracts . CNAE2 . bubble_clust . cl_CNAE . deep_mou_gibbs . dir_mult_GD . heatmap_words . mou_EM . plot.deepMOU . words_freq_plot . 
Some associated R codes: Abstracts.R . CNAE2.R . bubble_clust.R . cl_CNAE.R . deep_mou_gibbs.R . dir_mult_GD.R . heatmap_words.R . mou_EM.R . packages_to_use.R . plot.deepMOU.R . words_freq_plot.R .  Full deepMOU package functions and examples
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