ClusterR (1.0.0)

Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering.

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 <>

License: MIT + file LICENSE

Uses: FD, ggplot2, gmp, gtools, OpenImageR, Rcpp, testthat, knitr, rmarkdown, covr
Reverse suggests: mlr, nonet

Released almost 3 years ago.