ClusterR (1.0.5)

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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

Released about 1 month ago.


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