Efficient Implementation of K-Means++ Algorithm
Downsample the columns of a matrix to a target number
Pipe operator
Simulate normal data for kmeans tests
TGL kmeans with 'tidy' output
kmeans++ with return value similar to R kmeans
tglkmeans: Efficient Implementation of K-Means++ Algorithm
Set parallel threads
Efficient implementation of K-Means++ algorithm. For more information see (1) "kmeans++ the advantages of the k-means++ algorithm" by David Arthur and Sergei Vassilvitskii (2007), Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp. 1027-1035, and (2) "The Effectiveness of Lloyd-Type Methods for the k-Means Problem" by Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman and Chaitanya Swamy <doi:10.1145/2395116.2395117>.
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