ClusterR swMATH ID: 31257 Software Authors: Mouselimis, Lampros; et al. Description: R package 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>. Homepage: https://cran.r-project.org/web/packages/ClusterR/index.html Source Code: https://github.com/cran/ClusterR Dependencies: R Related Software: R; flexmix; cluster (R); mixtools; ggplot2; mclust; bmixture; mixture; bgmm; Matrix; mlmts; Python; caret; poLCA; Rmixmod; RcppArmadillo; mixsmsn; nspmix; DPP; SimCorrMix Cited in: 4 Documents all top 5 Cited by 12 Authors 2 Benites, Luis E. 1 Bertsimas, Dimitris John 1 Cabral, Celso Rômulo Barbosa 1 Ferraro, Maria Brigida 1 Giordani, Paolo E. 1 Lachos Dávila, Víctor Hugo 1 Maehara, Rocío 1 Marmolejo-Ramos, Fernando 1 Martella, Francesca 1 Orfanoudaki, Agni 1 Wiberg, Holly 1 Zeller, Camila Borelli Cited in 4 Serials 1 Machine Learning 1 Advances in Data Analysis and Classification. ADAC 1 Journal of Statistical Theory and Practice 1 Behaviormetrics: Quantitative Approaches to Human Behavior Cited in 3 Fields 3 Statistics (62-XX) 1 Probability theory and stochastic processes (60-XX) 1 Computer science (68-XX) Citations by Year