c(person(given = "Derek",
             family = "Chiu",
             role = c("aut", "cre"),
             email = "dchiu@bccrc.ca"),
      person(given = "Aline",
             family = "Talhouk",
             role = "aut",
             email = "atalhouk@bccrc.ca"),
      person(given = "Johnson",
             family = "Liu",
             role = c("ctb", "com"),
             email = "gliu@bccrc.ca"))
Performs cluster analysis using an ensemble
    clustering framework, Chiu & Talhouk (2018)
    <doi:10.1186/s12859-017-1996-y>.  Results from a diverse set of
    algorithms are pooled together using methods such as majority voting,
    K-Modes, LinkCluE, and CSPA. There are options to compare cluster
    assignments across algorithms using internal and external indices,
    visualizations such as heatmaps, and significance testing for the
    existence of clusters.
abind, assertthat, class, clue, clusterCrit, clValid, dplyr
(>= 0.7.5), ggplot2, infotheo, klaR, magrittr, mclust, methods,
NMF, purrr (>= 0.2.3), RankAggreg, Rcpp, stringr, tidyr,
yardstick
apcluster, cluster, covr, dbscan, e1071, kernlab, knitr,
kohonen, pander, poLCA, progress, RColorBrewer, rmarkdown,
Rtsne, sigclust, testthat
Derek Chiu [aut, cre],
  Aline Talhouk [aut],
  Johnson Liu [ctb, com]