tglkmeans 0.6.1

• Added predict_tgl_kmeans() function to assign new observations to existing k-means cluster centers (#5).
• Exported match_clusters() and test_clustering() functions.
• Auto-detect character/factor first column as ID column.
• Parallelized k-means initialization.
• Fix: Pearson distance was not negated, causing incorrect cluster assignments when using metric = "pearson".
• Fix: memory leak in k-means core.
• Fix: k-means seeding crash when k is large relative to data size.
• Fix: race condition in parallel workers.
• Fix: package failed to load on machines where detectCores() returns NA.
• Fix: downsample_matrix used identical random seed for all columns.
• Removed plyr dependency. Moved ggplot2 from Imports to Suggests.

tglkmeans 0.5.8

• Fix: Registered “id” as a global variable to maintain compatibility with future versions of dplyr (addressing the removal of dplyr::id()).

tglkmeans 0.5.7

• Bug fix: crashed on some machines when id_column=TRUE and data had a single column.

tglkmeans 0.5.6

• Removed parallelization for hclust_intra_clusters - it was causing hangs in some systems. The parallel parameter was removed from TGL_kmeans and TGL_kmeans_tidy.

tglkmeans 0.5.5

• Fix: clustering crashed when hclust_intra_clusters was TRUE and input was a matrix.

tglkmeans 0.5.4

• Fixed usage of more than 2 cores when testing on CRAN.

tglkmeans 0.5.3

• Fix: colnames and rownames were removed in downsample_matrix function.

tglkmeans 0.5.2

• Fixed docs.

tglkmeans 0.5.1

• Fix: cluster slot ids were corrupted when data was a tibble and id_column was TRUE.
• Fix: ids were not used when id_column was FALSE and data had rownames.

tglkmeans 0.5.0

• Added dowsample_matrix function to downsample the columns of a count matrix to a target number.

tglkmeans 0.4.0

• Default of id_column parameter was changed to FALSE. Note that this is a breaking change, and if you want to use an id column, you need to set it explicitly to TRUE.
• Use R random number generator instead of C++11 random number generator. For backwards compatibility, the old random number generator can be used by setting use_cpp_random to TRUE.
• Added parallelization using RcppParallel.

tglkmeans 0.3.12

• Added validity checks for k and the number of observations.

tglkmeans 0.3.11

• Changed pkgdoc, see: https://github.com/r-lib/roxygen2/issues/1491.

tglkmeans 0.3.10

• Removed broken link to one of the references in the description.

tglkmeans 0.3.9

• Remove empty clusters. This may happen when the number of clusters is larger than the number of observations, and currently caused an error in the reordering step.

tglkmeans 0.3.8

• Removed C++11 specification + require R >= 4.0.0.

tglkmeans 0.3.6

• Fixed error on debian systems.

tglkmeans 0.3.5

• Changed errors from cpp to 1 based indexing.
• fix: loading the package failed on machines with a single core.

tglkmeans 0.3.4

• First CRAN release.

tglkmeans 0.3.3

• Set NA values to zeros in correlation matrix when reordering clusters (avoid crashing on some datasets with NA’s in the dist object)

tglkmeans 0.3.1

• Use rownames when exist.
• Do not fail when “id” column doesn’t exist (warn instead).

tglkmeans 0.3.0

• Removed bootstrapping (it was causing a lot of problems in travis testing and almost wasn’t used).
• Added a NEWS.md file to track changes to the package.