tanaylab/tglkmeans: Efficient Implementation of K-Means++ Algorithm

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, <http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf>, 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>.

Getting started

Package details

AuthorAviezer Lifshitz [aut, cre], Amos Tanay [aut], Weizmann Institute of Science [cph]
MaintainerAviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
LicenseMIT + file LICENSE
Version0.3.5
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tanaylab/tglkmeans")
tanaylab/tglkmeans documentation built on Sept. 3, 2022, 1:13 a.m.