gnu: Add r-clusterr.

* gnu/packages/cran.scm (r-clusterr): New variable.

gnu/packages/cran.scm

@@ -22980,3 +22980,49 @@ analysis.  Column- and row- wise means, medians, variances, minimums,
 maximums, many t, F and G-square tests, many regressions (normal, logistic,
 Poisson), are some of the many fast functions.")
     (license license:gpl2+)))
+
+(define-public r-clusterr
+  (package
+    (name "r-clusterr")
+    (version "1.2.2")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "ClusterR" version))
+       (sha256
+        (base32
+         "1ky172bk15a78hky77vl60j7c81nq2495sxjrv53is25nkac7sjm"))))
+    (properties `((upstream-name . "ClusterR")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-ggplot2" ,r-ggplot2)
+       ("r-gmp" ,r-gmp)
+       ("r-gtools" ,r-gtools)
+       ("r-rcpp" ,r-rcpp)
+       ("r-rcpparmadillo" ,r-rcpparmadillo)))
+    (native-inputs `(("r-knitr" ,r-knitr)))
+    (home-page "https://github.com/mlampros/ClusterR")
+    (synopsis "Clustering")
+    (description
+     "This package provides 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 @code{RcppArmadillo} to speed up
+the computationally intensive parts of the functions.  For more information,
+see
+
+@enumerate
+@item \"Clustering in an Object-Oriented Environment\" by Anja Struyf, Mia
+  Hubert, Peter Rousseeuw (1997), Journal of Statistical Software,
+  @url{https://doi.org/10.18637/jss.v001.i04};
+@item \"Web-scale k-means clustering\" by D. Sculley (2010), ACM Digital
+  Library, @url{https://doi.org/10.1145/1772690.1772862};
+@item \"Armadillo: a template-based C++ library
+  for linear algebra\" by Sanderson et al (2016), The Journal of Open Source
+  Software, @url{https://doi.org/10.21105/joss.00026};
+@item \"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, @url{https://doi.org/10.1126/science.1136800}.
+@end enumerate
+")
+    (license license:gpl3)))