The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Partitioning clustering algorithms divide data sets into k subsets or partitions so-called clusters. They require some initialization procedures for starting the algorithms. Initialization of cluster prototypes is one of such kind of procedures for most of the partitioning algorithms. Cluster prototypes are the centers of clusters, i.e. centroids or medoids, representing the clusters in a data set. In order to initialize cluster prototypes, the package 'inaparc' contains a set of the functions that are the implementations of several linear time-complexity and loglinear time-complexity methods in addition to some novel techniques. Initialization of fuzzy membership degrees matrices is another important task for starting the probabilistic and possibilistic partitioning algorithms. In order to initialize membership degrees matrices required by these algorithms, a number of functions based on some traditional and novel initialization techniques are also available in the package 'inaparc'.
Version: | 1.2.0 |
Depends: | R (≥ 3.3.0) |
Imports: | kpeaks, lhs, stats, methods |
Published: | 2022-06-16 |
DOI: | 10.32614/CRAN.package.inaparc |
Author: | Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut] |
Maintainer: | Zeynel Cebeci <zcebeci at cukurova.edu.tr> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | inaparc citation info |
Materials: | NEWS |
CRAN checks: | inaparc results |
Reference manual: | inaparc.pdf |
Package source: | inaparc_1.2.0.tar.gz |
Windows binaries: | r-devel: inaparc_1.2.0.zip, r-release: inaparc_1.2.0.zip, r-oldrel: inaparc_1.2.0.zip |
macOS binaries: | r-release (arm64): inaparc_1.2.0.tgz, r-oldrel (arm64): inaparc_1.2.0.tgz, r-release (x86_64): inaparc_1.2.0.tgz, r-oldrel (x86_64): inaparc_1.2.0.tgz |
Old sources: | inaparc archive |
Reverse imports: | ppclust |
Reverse suggests: | Evacluster |
Please use the canonical form https://CRAN.R-project.org/package=inaparc 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.