Package: pfclust 0.1.0
Phuc Thinh Nguyen
pfclust: Power Fuzzy Clustering and Cluster-Wise Regression
Implementations of Power Fuzzy Clustering (PFC) and Power Fuzzy Cluster-wise Regression (PFCR) for multivariate data. The package supports Minkowski distances, with the L1 case solved via iteratively re-weighted least squares and the case p > 1 solved via coordinate-wise root finding, as well as an adaptive, regularised Mahalanobis distance with per-cluster covariance matrices. Both plain fuzzy clustering and cluster-wise linear regression are provided. The corresponding paper can be found at Nguyen P.T., Tortora C., and Punzo A. (2026) <doi:10.1109/TFUZZ.2026.3683998>.
Authors:
pfclust_0.1.0.tar.gz
pfclust_0.1.0.tar.gz(r-4.7-any)pfclust_0.1.0.tar.gz(r-4.6-any)
pfclust_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pfclust/json (API)
| # Install 'pfclust' in R: |
| install.packages('pfclust', repos = c('https://cran.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 from:9261df9ff8. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 164 | ||
| source / vignettes | OK | 206 | ||
| linux-release-x86_64 | OK | 133 | ||
| wasm-release | OK | 111 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Power Fuzzy Clustering | PFC |
| Power Fuzzy Cluster-wise Regression | PFCR |