ClusterR 1.1.9

ClusterR 1.1.8

ClusterR 1.1.7

ClusterR 1.1.6

ClusterR 1.1.5

As of version 1.1.5 the ClusterR functions can take tibble objects as input too.

ClusterR 1.1.4

I modified the ClusterR package to a cpp-header-only package to allow linking of cpp code between Rcpp packages. See the update of the README.md file (16-08-2018) for more information.

ClusterR 1.1.3

I updated the example section of the documentation by replacing the optimal_init with the kmeans++ initializer

ClusterR 1.1.2

ClusterR 1.1.1

ClusterR 1.1.0

ClusterR 1.0.9

ClusterR 1.0.8

ClusterR 1.0.7

I modified the kmeans_miniBatchKmeans_GMM_Medoids.cpp file in the following lines in order to fix the clang-ASAN errors (without loss in performance):

I modified the following functions in the clustering_functions.R file:

ClusterR 1.0.6

The normalized variation of information was added in the external_validation function (https://github.com/mlampros/ClusterR/pull/1)

ClusterR 1.0.5

I fixed the valgrind memory errors

ClusterR 1.0.4

I removed the warnings, which occured during compilation. I corrected the UBSAN memory errors which occured due to a mistake in the check_medoids() function of the utils_rcpp.cpp file. I also modified the quantile_init_rcpp() function of the utils_rcpp.cpp file to print a warning if duplicates are present in the initial centroid matrix.

ClusterR 1.0.3

ClusterR 1.0.2

I modified the RcppArmadillo functions so that ClusterR passes the Windows and OSX OS package check results

ClusterR 1.0.1

I modified the RcppArmadillo functions so that ClusterR passes the Windows and OSX OS package check results

ClusterR 1.0.0