Package: fakmct 0.1.0
fakmct: Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
A set of function for clustering data observation with hybrid method Fuzzy ART and K-Means by Sengupta, Ghosh & Dan (2011) <doi:10.1080/0951192X.2011.602362>.
Authors:
fakmct_0.1.0.tar.gz
fakmct_0.1.0.zip(r-4.5)fakmct_0.1.0.zip(r-4.4)fakmct_0.1.0.zip(r-4.3)
fakmct_0.1.0.tgz(r-4.5-any)fakmct_0.1.0.tgz(r-4.4-any)fakmct_0.1.0.tgz(r-4.3-any)
fakmct_0.1.0.tar.gz(r-4.5-noble)fakmct_0.1.0.tar.gz(r-4.4-noble)
fakmct_0.1.0.tgz(r-4.4-emscripten)fakmct_0.1.0.tgz(r-4.3-emscripten)
fakmct.pdf |fakmct.html✨
fakmct/json (API)
| # Install 'fakmct' in R: |
| install.packages('fakmct', repos = c('https://alfinurrahmah.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alfinurrahmah/fakmct/issues
Datasets:
- simulatedataIPM - Sample Data for simulate analysis data
Last updated 3 years agofrom:60cefd3463. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 28 2025 |
| R-4.5-win | OK | Feb 28 2025 |
| R-4.5-mac | OK | Feb 28 2025 |
| R-4.5-linux | OK | Feb 28 2025 |
| R-4.4-win | OK | Feb 28 2025 |
| R-4.4-mac | OK | Feb 28 2025 |
| R-4.3-win | OK | Feb 28 2025 |
| R-4.3-mac | OK | Feb 28 2025 |
Exports:choice_functionfakmctfuzzy_andfuzzy_normlinalg_normmatch_functionupdate_weightvigilance_check
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Choice Function | choice_function |
| Fuzzy Adaptive Resonance Theory (ART) K-Means Clustering Technique | fakmct |
| Fuzzy And Function | fuzzy_and |
| Fuzzy Norm | fuzzy_norm |
| Linear Algebra for Euclidean distance | linalg_norm |
| Match function | match_function |
| Sample Data for simulate analysis data (Using IPM 2019) | simulatedataIPM |
| Update weight | update_weight |
| Vigilance check | vigilance_check |
