Gaussian mixture models, kmeans, minibatchkmeans, kmedoids 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 ObjectOriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Webscale kmeans clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a templatebased 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. 972976, <doi:10.1126/science.1136800>.
Package details 


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 MiniBatchKmeans algorithm (https://github.com/siddharthagrawal/MiniBatchKMeans)), 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 <[email protected]> 
License  GPL3 
Version  1.1.6 
URL  https://github.com/mlampros/ClusterR 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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