The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Partitioning clustering divides the objects in a data set into non-overlapping subsets or clusters by using the prototype-based probabilistic and possibilistic clustering algorithms. This package covers a set of the functions for Fuzzy C-Means (Bezdek, 1974) <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram & Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>, Possibilistic C-Means with Repulsion (Wachs et al, 2006) <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft clustering algorithms. The cluster prototypes and membership matrices required by these partitioning algorithms are initialized with different initialization techniques that are available in the package 'inaparc'. As the distance metrics, not only the Euclidean distance but also a set of the commonly used distance metrics are available to use with some of the algorithms in the package.
| Version: | 1.1.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | graphics, grDevices, inaparc, MASS, stats, utils, methods |
| Suggests: | cluster, factoextra, fclust, knitr, rmarkdown, vegclust |
| Published: | 2023-12-13 |
| DOI: | 10.32614/CRAN.package.ppclust |
| Author: | Zeynel Cebeci [aut, cre], Figen Yildiz [aut], Alper Tuna Kavlak [aut], Cagatay Cebeci [aut], Hasan Onder [aut] |
| Maintainer: | Zeynel Cebeci <zcebeci at cukurova.edu.tr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | ppclust citation info |
| Materials: | NEWS |
| CRAN checks: | ppclust results |
| Reference manual: | ppclust.pdf |
| Vignettes: |
Partitioning Cluster Analysis Using Fuzzy C-Means Unsupervised Possibilistic Fuzzy C-Means Algorithm |
| Package source: | ppclust_1.1.0.1.tar.gz |
| Windows binaries: | r-devel: ppclust_1.1.0.1.zip, r-release: ppclust_1.1.0.1.zip, r-oldrel: ppclust_1.1.0.1.zip |
| macOS binaries: | r-release (arm64): ppclust_1.1.0.1.tgz, r-oldrel (arm64): ppclust_1.1.0.1.tgz, r-release (x86_64): ppclust_1.1.0.1.tgz, r-oldrel (x86_64): ppclust_1.1.0.1.tgz |
| Old sources: | ppclust archive |
| Reverse imports: | miRSM, odetector, PUGMM, signeR |
| Reverse suggests: | Evacluster, geocmeans, naspaclust |
Please use the canonical form https://CRAN.R-project.org/package=ppclust to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.