Introduction | Example Dataset | Running the Clustering Algorithm | Cluster Assignment | Cluster Quality | Prototype Interpretation | Xie-Beni Index Visualization | Conclusion
Package: fcmfd 0.1.2
José Ortigas
fcmfd: Fuzzy C-Means for Fuzzy Data
Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Authors:
fcmfd_0.1.2.tar.gz
fcmfd_0.1.2.zip(r-4.7-any)fcmfd_0.1.2.zip(r-4.6-any)
fcmfd_0.1.2.tar.gz(r-4.7-any)fcmfd_0.1.2.tar.gz(r-4.6-any)
fcmfd_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fcmfd/json (API)
| # Install 'fcmfd' in R: |
| install.packages('fcmfd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- sim_likert7 - Simulated Likert 1–7 Survey Dataset
- students_wellbeing - Student Wellbeing During COVID-19
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b5c672c1ba. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 189 | ||
| source / vignettes | OK | 185 | ||
| linux-release | OK | 208 | ||
| windows-devel | OK | 124 | ||
| windows-release | OK | 147 | ||
| wasm-release | OK | 81 |
Exports:cluster_assignmentcluster_sizefcmTFNmembershipmembership_qualityplot_dictionaryplot_prototypesplot_xbprint_fcmTFNprototype_results
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hard Cluster Assignment | cluster_assignment |
| Cluster Sizes | cluster_size |
| Fuzzy C-Means Clustering for Triangular Fuzzy Numbers | fcmTFN |
| Extract Membership Matrix | membership |
| Membership Quality Assessment | membership_quality |
| Plot Fuzzy Dictionary | plot_dictionary |
| Plot Cluster Prototypes | plot_prototypes |
| Plot Xie-Beni Index | plot_xb |
| Print Method for fcmTFN Objects | print_fcmTFN |
| Prototype Results | prototype_results |
| Simulated Likert 1–7 Survey Dataset | sim_likert7 |
| Student Wellbeing During COVID-19 | students_wellbeing |
| Summary for fcmTFN Objects | summary.fcmTFN |