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.
| Version: |
1.0.9 |
| 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 |
| Published: |
2017-11-30 |
| Author: |
Lampros Mouselimis |
| Maintainer: |
Lampros Mouselimis <mouselimislampros at gmail.com> |
| BugReports: |
https://github.com/mlampros/ClusterR/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mlampros/ClusterR |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
ClusterR results |