deepMOU
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 (doi:10.1023/A:1007692713085), Mixture of Dirichlet-Multinomials estimated by Gradient Descent (doi:10.1007/s11634-020-00399-3) and Deep Mixture of Multinomials whose estimates are obtained with Gibbs sampling scheme (doi:10.1007/s11222-020-09989-9). There are also functions for graphical representation of clusters obtained.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/04/2021
Team
Martin D'Ippolito
Cinzia Viroli
Show author detailsRolesAuthorAnderlucci Laura
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Insights
Last 30 days
This package has been downloaded 182 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,527 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 24, 2024 with 67 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports7 packages