Package: deepMOU 0.1.1
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 (Nigam, K. et al. (2000). <doi:10.1023/A:1007692713085>), Mixture of Dirichlet-Multinomials estimated by Gradient Descent (Anderlucci, Viroli (2020) <doi:10.1007/s11634-020-00399-3>) and Deep Mixture of Multinomials whose estimates are obtained with Gibbs sampling scheme (Viroli, Anderlucci (2020) <doi:10.1007/s11222-020-09989-9>). There are also functions for graphical representation of clusters obtained.
Authors:
deepMOU_0.1.1.tar.gz
deepMOU_0.1.1.zip(r-4.5)deepMOU_0.1.1.zip(r-4.4)deepMOU_0.1.1.zip(r-4.3)
deepMOU_0.1.1.tgz(r-4.4-any)deepMOU_0.1.1.tgz(r-4.3-any)
deepMOU_0.1.1.tar.gz(r-4.5-noble)deepMOU_0.1.1.tar.gz(r-4.4-noble)
deepMOU_0.1.1.tgz(r-4.4-emscripten)deepMOU_0.1.1.tgz(r-4.3-emscripten)
deepMOU.pdf |deepMOU.html✨
deepMOU/json (API)
| # Install 'deepMOU' in R: |
| install.packages('deepMOU', repos = c('https://martindip.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:9b21dec3cd. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | NOTE | Nov 13 2024 |
| R-4.5-linux | NOTE | Nov 13 2024 |
| R-4.4-win | NOTE | Nov 13 2024 |
| R-4.4-mac | NOTE | Nov 13 2024 |
| R-4.3-win | NOTE | Nov 13 2024 |
| R-4.3-mac | NOTE | Nov 13 2024 |
Exports:bubble_clustdeep_mou_gibbsdir_mult_GDheatmap_wordsmou_EMwords_freq_plot
Dependencies:cliclueclustercolorspacedplyrentropyextraDistrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangscalesskmeansslamtibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Abstracts dataset | Abstracts |
| Bubble plot | bubble_clust |
| Classification labels of the CNAE2 data set | cl_CNAE |
| CNAE dataset on classes 4 and 9 | CNAE2 |
| Deep Mixture of Unigrams | deep_mou_gibbs |
| Dirichlet-Multinomial mixture model by Gradient Descend algorithm | dir_mult_GD |
| Heatmap of word frequencies by cluster | heatmap_words |
| Mixture of Unigrams by Expectation-Maximization algorithm | mou_EM |
| Plotting method for "shallow" and deep mixtures of Unigrams and mixtures of Dirichlet-Multinomials | plot.deepMOU |
| Graph of most frequent words of each cluster | words_freq_plot |
