ClusterR (1.0.4)
Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering.
https://github.com/mlampros/ClusterR
http://cran.r-project.org/web/packages/ClusterR
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids 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.
Maintainer:
Lampros Mouselimis
Author(s): Lampros Mouselimis <mouselimislampros@gmail.com>
License: MIT + file LICENSE
Uses: FD, ggplot2, gmp, gtools, OpenImageR, Rcpp, testthat, knitr, rmarkdown, covr
Reverse suggests: mlr, nonet
Released over 2 years ago.
