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fussclust  

Fuzzy Unsupervised and Semi-Supervised Clustering
View on CRAN: Click here


Download and install fussclust package within the R console
Install from CRAN:
install.packages("fussclust")

Install from Github:
library("remotes")
install_github("cran/fussclust")

Install by package version:
library("remotes")
install_version("fussclust", "0.1.0")



Attach the package and use:
library("fussclust")
Maintained by
Kamil Kmita
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-02
Latest Update: 2026-06-02
Description:
Methods for distance-based fuzzy unsupervised and semi-supervised clustering, including fuzzy and possibilistic models based on alternating optimization (AO) algorithm. The package introduces a vectorized estimation framework for prototype-based fuzzy clustering algorithms, enabling modular algorithm design and extensibility. It also supports storage and retrieval of intermediate AO optimization results for downstream analysis and processing. For more details see Kmita et al. (2024) <doi:10.1109/TFUZZ.2024.3370768>.
How to cite:
Kamil Kmita (2026). fussclust: Fuzzy Unsupervised and Semi-Supervised Clustering. R package version 0.1.0, https://cran.r-project.org/web/packages/fussclust. Accessed 25 Oct. 2026.
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