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.

RJcluster: A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition

Clustering algorithm for high dimensional data. Assuming that P feature measurements on N objects are arranged in an N×P matrix X, this package provides clustering based on the left Gram matrix XX^T. To simulate test data, type "help('simulate_HD_data')" and to learn how to use the clustering algorithm, type "help('RJclust')". To cite this package, type 'citation("RJcluster")'.

Version: 3.2.4
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.2), matrixStats, infotheo, rlang, stats, graphics, profvis, mclust, foreach, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2022-02-14
DOI: 10.32614/CRAN.package.RJcluster
Author: Shahina Rahman [aut], Valen E. Johnson [aut], Suhasini Subba Rao [aut], Rachael Shudde [aut, cre, trl]
Maintainer: Rachael Shudde <rachael.shudde at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: RJcluster results

Documentation:

Reference manual: RJcluster.pdf
Vignettes: RJclust_Vignette

Downloads:

Package source: RJcluster_3.2.4.tar.gz
Windows binaries: r-devel: RJcluster_3.2.4.zip, r-release: RJcluster_3.2.4.zip, r-oldrel: RJcluster_3.2.4.zip
macOS binaries: r-release (arm64): RJcluster_3.2.4.tgz, r-oldrel (arm64): RJcluster_3.2.4.tgz, r-release (x86_64): RJcluster_3.2.4.tgz, r-oldrel (x86_64): RJcluster_3.2.4.tgz
Old sources: RJcluster archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RJcluster 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.