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>.

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Description file content

Package
ClusterR
Type
Package
Title
Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Version
1.1.6
Date
2018-11-07
Maintainer
Lampros Mouselimis
BugReports
https://github.com/mlampros/ClusterR/issues
URL
Description
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, ; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, ; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, ; (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, .
License
GPL-3
LazyData
TRUE
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
VignetteBuilder
knitr
RoxygenNote
6.1.0
NeedsCompilation
yes
Packaged
2018-11-07 08:01:08 UTC; lampros
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)
Repository
CRAN
Date/Publication
2018-11-08 16:30:03 UTC

install.packages('ClusterR')

1.1.6

9 days ago

https://github.com/mlampros/ClusterR

Lampros Mouselimis

GPL-3

Depends on

R(>= 3.2), gtools

Imports

Rcpp (>= 0.12.5), OpenImageR, graphics, grDevices, utils, gmp, FD, stats, ggplot2

Suggests

testthat, covr, knitr, rmarkdown

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