TGL kmeans

run kmeans++ algorithm

TGL_kmeans()

kmeans++ with return value similar to R kmeans

TGL_kmeans_tidy()

TGL kmeans with 'tidy' output

predict_tgl_kmeans()

Predict cluster assignments for new data

Evaluation

evaluate clustering results

match_clusters()

Match clusters to true clusters

test_clustering()

Test clustering performance

Matrix

matrix utility functions

downsample_matrix()

Downsample the columns of a matrix to a target number

misc

utility functions

tglkmeans.set_parallel()

Set parallel threads

simulate_data()

Simulate normal data for kmeans tests

tglkmeans tglkmeans-package

tglkmeans: Efficient Implementation of K-Means++ Algorithm