Efficient Implementation of K-Means++ Algorithm

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Documentation for package ‘tglkmeans’ version 0.6.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

downsample_matrix	Downsample the columns of a matrix to a target number
match_clusters	Match clusters to true clusters
predict_tgl_kmeans	Predict cluster assignments for new data
simulate_data	Simulate normal data for kmeans tests
test_clustering	Test clustering performance
tglkmeans.set_parallel	Set parallel threads
TGL_kmeans	kmeans++ with return value similar to R kmeans
TGL_kmeans_tidy	TGL kmeans with 'tidy' output