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-4.4-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 2 years agofrom:60cefd3463. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
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 |