Package: ClusterR
Type: Package
Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and
        K-Medoids Clustering
Version: 1.0.9
Date: 2017-11-30
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
BugReports: https://github.com/mlampros/ClusterR/issues
URL: https://github.com/mlampros/ClusterR
Description: 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.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R(>= 3.2.3), gtools
Imports: Rcpp (>= 0.12.5), OpenImageR, graphics, grDevices, utils, gmp,
        FD, stats, ggplot2
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.2)
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-30 12:02:51 UTC; lampros
Repository: CRAN
Date/Publication: 2017-11-30 13:00:05 UTC
Built: R 3.3.2; x86_64-apple-darwin13.4.0; 2017-12-01 15:40:43 UTC; unix
Archs: ClusterR.so.dSYM
