ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering

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: 1.1.6
Depends: R (≥ 3.2), gtools
Imports: Rcpp (≥ 0.12.5), OpenImageR, graphics, grDevices, utils, gmp, FD, stats, ggplot2
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.1)
Suggests: testthat, covr, knitr, rmarkdown
Published: 2018-11-08
Author: Lampros Mouselimis [aut, cre], Conrad Sanderson [cph] (Author of the C++ Armadillo library), Ryan Curtin [cph] (Author of the C++ Armadillo library), Siddharth Agrawal [cph] (Author of the C code of the Mini-Batch-Kmeans algorithm (https://github.com/siddharth-agrawal/Mini-Batch-K-Means)), Brendan Frey [cph] (Author of the matlab code of the Affinity propagation algorithm (for commercial use please contact the author)), Delbert Dueck [cph] (Author of the matlab code of the Affinity propagation algorithm)
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
Materials: README NEWS
CRAN checks: ClusterR results

Downloads:

Reference manual: ClusterR.pdf
Vignettes: Functionality of the ClusterR package
Package source: ClusterR_1.1.6.tar.gz
Windows binaries: r-devel: ClusterR_1.1.6.zip, r-release: ClusterR_1.1.6.zip, r-oldrel: ClusterR_1.1.6.zip
OS X binaries: r-release: ClusterR_1.1.6.tgz, r-oldrel: ClusterR_1.1.6.tgz
Old sources: ClusterR archive

Reverse dependencies:

Reverse imports: CensMixReg, demu, jackstraw

Linking:

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