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DESCRIPTION
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DESCRIPTION
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Type: Package
Package: diceR
Title: Diverse Cluster Ensemble in R
Version: 2.0.0.9000
Authors@R:
c(person(given = "Derek",
family = "Chiu",
role = c("aut", "cre"),
email = "dchiu@bccrc.ca"),
person(given = "Aline",
family = "Talhouk",
role = "aut",
email = "a.talhouk@ubc.ca"),
person(given = "Johnson",
family = "Liu",
role = c("ctb", "com"),
email = "gliu@bccrc.ca"))
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/AlineTalhouk/diceR/,
https://alinetalhouk.github.io/diceR/
BugReports: https://github.com/AlineTalhouk/diceR/issues
Depends:
R (>= 3.5)
Imports:
abind,
assertthat,
class,
clue,
clusterSim,
clv,
clValid,
dplyr (>= 0.7.5),
ggplot2,
infotheo,
klaR,
magrittr,
mclust,
methods,
NMF,
purrr (>= 0.2.3),
RankAggreg,
Rcpp,
stringr,
tidyr,
yardstick
Suggests:
apcluster,
cluster,
covr,
dbscan,
e1071,
kernlab,
knitr,
kohonen,
mixedClust,
pander,
poLCA,
progress,
RColorBrewer,
rlang,
rmarkdown,
Rtsne,
sigclust,
testthat
LinkingTo:
Rcpp
VignetteBuilder:
knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3