Package: tglkmeans
Title: Efficient Implementation of K-Means++ Algorithm
Version: 0.5.7
Authors@R: c(
    person("Aviezer", "Lifshitz", , "aviezer.lifshitz@weizmann.ac.il", role = c("aut", "cre")),
    person("Amos", "Tanay", role = "aut"),
    person("Weizmann Institute of Science", role = "cph")
  )
Author: Aviezer Lifshitz [aut, cre], Amos Tanay [aut], Weizmann Institute
    of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Description: 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>.
License: MIT + file LICENSE
BugReports: https://github.com/tanaylab/tglkmeans/issues
URL: https://tanaylab.github.io/tglkmeans/, https://github.com/tanaylab/tglkmeans
Depends: 
    R (>= 4.0.0)
Imports: 
    cli,
    doFuture,
    dplyr (>= 0.5.0),
    future,
    ggplot2 (>= 2.2.0),
    magrittr,
    Matrix,
    methods,
    parallel (>= 3.3.2),
    plyr (>= 1.8.4),
    purrr (>= 0.2.0),
    Rcpp (>= 0.12.11),
    RcppParallel,
    tgstat (>= 1.0.0),
    tibble (>= 3.1.2)
Suggests: 
    covr,
    knitr,
    rlang,
    rmarkdown,
    testthat,
    withr
LinkingTo: 
    Rcpp,
    RcppParallel
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
NeedsCompilation: yes
OS_type: unix
RoxygenNote: 7.3.1
SystemRequirements: GNU make
