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Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Version: | 1.3.3 |
Depends: | R (≥ 3.2) |
Imports: | Rcpp (≥ 0.12.5), graphics, grDevices, utils, stats, gmp, ggplot2, lifecycle |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.9.1) |
Suggests: | OpenImageR, FD, testthat, covr, knitr, rmarkdown |
Published: | 2024-06-18 |
DOI: | 10.32614/CRAN.package.ClusterR |
Author: | Lampros Mouselimis
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Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
BugReports: | https://github.com/mlampros/ClusterR/issues |
License: | GPL-3 |
URL: | https://github.com/mlampros/ClusterR |
NeedsCompilation: | yes |
SystemRequirements: | libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb), libgmp3: apt-get install -y libgmp3-dev (deb), libfftw3: apt-get install -y libfftw3-dev (deb), libtiff5: apt-get install -y libtiff5-dev (deb) |
Citation: | ClusterR citation info |
Materials: | README NEWS |
In views: | Cluster |
CRAN checks: | ClusterR results |
Reference manual: | ClusterR.pdf |
Vignettes: |
Functionality of the ClusterR package |
Package source: | ClusterR_1.3.3.tar.gz |
Windows binaries: | r-devel: ClusterR_1.3.3.zip, r-release: ClusterR_1.3.3.zip, r-oldrel: ClusterR_1.3.3.zip |
macOS binaries: | r-release (arm64): ClusterR_1.3.3.tgz, r-oldrel (arm64): ClusterR_1.3.3.tgz, r-release (x86_64): ClusterR_1.3.3.tgz, r-oldrel (x86_64): ClusterR_1.3.3.tgz |
Old sources: | ClusterR archive |
Reverse imports: | bssn, Clustering, clusterMI, ClustImpute, ctpm, demu, DepecheR, jackstraw, mbkmeans, moanin, opGMMassessment, patternize, PUGMM, Spectrum, text2map, tidybins |
Reverse linking to: | mbkmeans, SuperpixelImageSegmentation |
Reverse suggests: | butcher, FCPS, mlr, mlr3cluster, nonet, ScatterDensity, superml, tidyclust |
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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.
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